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Artificial Intelligence and Soft Computing [[electronic resource] ] : 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part I / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada
| Artificial Intelligence and Soft Computing [[electronic resource] ] : 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part I / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXIV, 776 p. 293 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Algorithms Logic design Data mining Special purpose computers Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Algorithm Analysis and Problem Complexity Logic Design Data Mining and Knowledge Discovery Special Purpose and Application-Based Systems |
| ISBN | 3-319-59063-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Neural Networks and Their Applications -- Author Profiling with Classification Restricted Boltzmann Machines -- 1 Introduction -- 2 Author Profile Dimensions -- 3 Restricted Boltzmann Machines -- 4 Probabilities and Gradients -- 4.1 Discriminative Training -- 4.2 Generative Training -- 5 Evaluation Datasets -- 6 Experiments and Results -- 6.1 Overall Results -- 7 Conclusions -- References -- Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm -- 1 Introduction -- 2 Givens Elimination Step -- 3 Givens QR Decomposition -- 4 QR Decomposition in Neural Network Weights Update -- 5 Parallel Implementation -- 6 Simulation Results -- 7 Conclusion -- References -- Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation -- 1 Introduction -- 2 Parallel Realisation -- 2.1 Calculating the Weight Derivatives Without Error Backpropagation -- 2.2 Calculating the A Matrix and the Gradient Vector -- 2.3 The QR Decomposition Based on the Householser Reflections -- 3 Computational Results -- 4 Conclusions -- References -- Spectral Analysis of CNN for Tomato Disease Identification -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Spectral Analysis of CNN for Tomato Disease -- 3.1 Deep Visualization of CNN -- 3.2 Color Sensitivity of RGB Images -- 3.3 Sensitivity to Color with Different Wavelength Values -- 3.3.1 Visible Spectrum of Images -- 4 Experimental Results -- 4.1 Dataset Description -- 4.2 CNN Activations and Features Visualization -- 4.2.1 Activations of Neurons -- 4.2.2 RGB Color Sensitivity -- 4.2.3 Feature Maps -- 5 Conclusion and Future Work -- Acknowledgments -- References -- From Homogeneous Network to Neural Nets with Fractional Derivative Mechanism -- 1 Introduction -- 2 Weight Distribution with Fractional Calculus.
3 Fractional Derivative Inside Neuron Transfer Function -- 4 The Fractional Mechanism Within 2D Homogeneous Network -- 5 Conclusion -- References -- Neurons Can Sort Data Efficiently -- 1 Introduction -- 2 Models of Neurons, Receptors, and the Senses -- 2.1 Sensory Fields and Sensors -- 2.2 Extreme, Sensory and Object Neurons -- 3 Simplistic Sequential Neural Associative Sorting -- 4 Conclusions and Remarks -- References -- Avoiding Over-Detection: Towards Combined Object Detection and Counting -- 1 Introduction -- 2 Related Work -- 2.1 Deep Learning Methods for Object Detection -- 2.2 Deep Learning Methods for Cell Detection -- 3 Method -- 3.1 Loss Function -- 3.2 Model Architecture -- 4 Results -- 5 Conclusion -- References -- Echo State Networks Simulation of SIR Distributed Control -- 1 Introduction -- 2 Echo State Networks -- 3 SIR Model with Delay and Spatial Diffusions -- 3.1 Distributed Optimal Control Problem -- 4 Discretisation and Adaptive Critic Neural Networks Solution of the Distributed Optimal Control -- 4.1 Numerical Simulation -- 5 Conclusion -- References -- The Study of Architecture MLP with Linear Neurons in Order to Eliminate the ``vanishing Gradient'' Problem -- 1 Introduction -- 2 Nonlinearity capabilities of deep neural networks -- 3 Approach for Resolving Vanishing Gradient Problem -- 4 Experimental Results -- 5 Conclusions -- References -- Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification -- 1 Introduction -- 2 Nonlinear Function Learning -- 3 Recursive Classification Rules -- 4 Consistency and Rates of Convergence -- 4.1 Convergence Results -- 4.2 Outlines of Proofs -- 5 Conclusions -- References -- Solar Event Classification Using Deep Convolutional Neural Networks -- 1 Introduction -- 2 Background -- 2.1 Convolutional Neural Networks. 2.2 Solar Event Classification -- 3 Methods -- 3.1 Data -- 3.2 CNN Architectures -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Evaluation of the Models -- 4.3 Comparison with Conventional Methods -- 5 Conclusions -- References -- Sequence Learning in Unsupervised and Supervised Vector Quantization Using Hankel Matrices -- 1 Introduction -- 2 Hankel Matrices - Mathematical Description and Properties -- 2.1 General Definition of Hankel Matrices -- 2.2 Dissimilarity Measures for Hankel Matrices -- 3 Unsupervised and Supervised Neural Vector Quantization for Hankel matrices -- 3.1 Unsupervised Neural Vector Quantization -- 3.2 Supervised Neural Vector Quantization -- 3.3 Hankel Matrices and Neural Vector Quantization -- 4 Existing Application Scenarios and New Perspectives for DNA Sequence Analysis -- 5 Conclusion -- References -- Discrete Cosine Transformation as Alternative to Other Methods of Computational Intelligence for Function Approximation -- 1 Introduction -- 2 Discrete Cosine Transform -- 3 Reduction of the System Size with DCT -- 4 Converting Randomly Distributed Patterns into a Regular Grid -- 5 Comparison of Selected Methods -- 6 Conclusions -- References -- Improvement of RBF Training by Removing of Selected Pattern -- 1 Introduction -- 2 Reduction of the Number of Training Patterns -- 2.1 Error Correction Algorithm -- 2.2 Proposed Methodologies -- 3 Experimental Results -- 3.1 Peaks Function -- 3.2 Rastrigin Function -- 3.3 Schaffer Function -- 4 Conclusions -- References -- Exploring the Solution Space of the Euclidean Traveling Salesman Problem Using a Kohonen SOM Neural Network -- 1 Introduction -- 2 Short Formulation of the ETSP Problem -- 3 The Kohonen SOM Algorithm for Solving ETSP -- 3.1 SOM Learning -- 4 Exploring ETSP Solution Space -- 4.1 Starting Solutions. 4.2 Computing the Tour Corresponding to the Actual Neuron's Locations -- 4.3 Algorithm -- 5 Simulation Study Using TSPLIB Examples -- 5.1 Pbc3038 Problem (TSPLIB) -- 5.2 pbc1173 Problem (TSPLIB) -- 5.3 bier127 Problem TSPLIB -- 6 Comments and Conclusions -- References -- Resolution Invariant Neural Classifiers for Dermoscopy Images of Melanoma -- 1 Introduction -- 1.1 Medical Background -- 1.2 Wavelets -- 1.3 Melanoma CAD with ANN -- 1.4 Motivation -- 2 Data Analysis -- 2.1 Signal Processing -- 2.2 Wavelet Features -- 2.3 Machine Learning -- 3 Results and Discussion -- References -- Application of Stacked Autoencoders to P300 Experimental Data -- 1 Introduction -- 1.1 P300 Brain-Computer Interfaces -- 1.2 Aims of this Paper -- 2 Theoretical Background -- 2.1 Deep Learning Models -- 2.2 Stacked Autoencoders -- 3 Experimental Design -- 3.1 Measurement -- 3.2 Guess the Number Application for On-line and Off-line BCI Classification -- 4 P300 Detection -- 4.1 Preprocessing and Feature Extraction -- 4.2 Classification -- 5 Results -- 6 Discussion and Future Work -- References -- NARX Neural Network for Prediction of Refresh Timeout in PIM--DM Multicast Routing -- 1 Introduction -- 2 PIM--DM -- 3 PIM--DM Protocol Overview -- 4 PIM--DM Protocol State -- 5 Refresh Timeout -- 6 Nonlinear Autoregressive Network for Prediction of Refresh Timeout -- 7 Simulation Results -- 8 Conclusions -- References -- Evolving Node Transfer Functions in Deep Neural Networks for Pattern Recognition -- 1 Introduction -- 2 Evolution of Deep Neural Networks -- 3 Pattern Recognition Benchmarks -- 3.1 Brodatz Textures -- 3.2 Handwritten Digits -- 3.3 COIL-100 -- 4 Experimental Setting -- 4.1 Initial Architecture of the Deep Neural Network -- 4.2 Node Transfer Functions -- 4.3 Representation of the Deep Evolutionary Neural Network -- 4.4 Search Operators -- 5 Results -- 6 Conclusions. References -- A Neural Network Circuit Development via Software-Based Learning and Circuit-Based Fine Tuning -- Abstract -- 1 Introduction -- 2 Memristor-Based Neural Network -- 2.1 The Memristor Bridge Synapse -- 2.2 Memristor-Based Neural Networks -- 3 Proposed Hybrid Learning: Hardware Friendly Error-Backpropagation and Circuit-Based Complementary ... -- 3.1 Random Weight Change Algorithm for Circuit-Based Learning -- 3.2 Hybrid Learning: Software-Based Confined Learning and Circuit-Based Complementary Learning with ... -- 4 Simulation Results -- 5 Conclusions -- References -- Fuzzy Systems and Their Applications -- A Comparative Study of Two Novel Approaches to the Rule-Base Evidential Reasoning -- 1 Introduction -- 2 Preliminaries -- 2.1 The Basics of DST -- 2.2 The Basics of A-IFS -- 2.3 Interpretation of A-IFS in the Framework of DST -- 3 Two New Approaches to the Rule-Based Evidential Reasoning: Comparative Study -- 4 Conclusion -- References -- STRIPS in Some Temporal-Preferential Extension -- 1 Introduction -- 1.1 The Paper Motivation and Objectives -- 1.2 The Paper Organization -- 2 Terminological Background of the Paper Analysis -- 2.1 STRIPS -- in the Original Nilsson's Depiction -- 2.2 Fuzzy Temporal Constraints and Preferences Based on Them -- 3 Fuzzy Temporal Constraints and Global Preferences in STRIPS -- 4 TP-STRIPS in Use -- 5 Towards a Generalization and Closing Remarks -- References -- Geometrical Interpretation of Impact of One Set on Another Set -- 1 Introduction -- 2 Matching of Fuzzy Sets -- 3 Matching of Multisets -- 4 Conclusions -- References -- A Method for Nonlinear Fuzzy Modelling Using Population Based Algorithm with Flexibly Selectable Operators -- 1 Introduction -- 2 Description of Proposed Method -- 2.1 Description of Neuro-Fuzzy System Used for Nonlinear Modeling -- 2.2 Encoding of the Individuals. 2.3 Evaluation of the Individuals. |
| Record Nr. | UNISA-996466210403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence and Soft Computing [[electronic resource] ] : 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part II / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada
| Artificial Intelligence and Soft Computing [[electronic resource] ] : 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part II / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXIV, 742 p. 247 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Algorithms Logic design Data mining Special purpose computers Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Algorithm Analysis and Problem Complexity Logic Design Data Mining and Knowledge Discovery Special Purpose and Application-Based Systems |
| ISBN | 3-319-59060-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Data Mining -- Computer Based Stylometric Analysis of Texts in Polish Language -- 1 Introduction -- 2 Features Used in Stylometry -- 3 Performed Stylometric Analysis -- 3.1 Data Sets and Classes -- 3.2 Feature Generation Methods -- 3.3 Classification -- 4 Results -- 4.1 Stylometric Features -- 4.2 Training Set Size -- 4.3 Classifiers Accuracy -- 4.4 Statistical Features Importance -- 4.5 Grammatical Classes Importance -- 5 Summary -- References -- Integration Base Classifiers Based on Their Decision Boundary -- 1 Introduction -- 2 Basic Concept -- 3 Proposed Method -- 4 Experimental Studies -- 5 Conclusion -- References -- Complexity of Rule Sets Induced by Two Versions of the MLEM2 Rule Induction Algorithm -- 1 Introduction -- 2 Incomplete Data Sets -- 3 Probabilistic Approximations -- 4 Rule Induction -- 4.1 True MLEM2 -- 4.2 Emulated MLEM2 -- 5 Experiments -- 6 Conclusions -- References -- Spark-Based Cluster Implementation of a Bug Report Assignment Recommender System -- 1 Introduction -- 2 Related Work -- 3 The Recommender System -- 3.1 Datasets -- 3.2 Cleansing -- 3.3 Preprocessing and Feature Reduction -- 3.4 Training the Recommender -- 3.5 Implementation -- 4 Results and Discussion -- 4.1 Results of Dimensionality Reduction Techniques -- 4.2 Choice of SVM Kernel -- 4.3 Comparison with Previous Approaches and Scalability -- 5 Conclusion -- References -- The Bag-of-Words Method with Dictionary Analysis by Evolutionary Algorithm -- 1 Introduction -- 2 Description of Proposed Methods -- 3 Experimental Research -- 4 Conclusions -- References -- The Novel Method of the Estimation of the Fourier Transform Based on Noisy Measurements -- 1 Introduction -- 2 Orthogonal Series Estimation of Regression Function and Its Spectrum.
3 Nonparametric Orthogonal Series Estimation of Fourier Transform -- 4 Simulation Example -- 5 Remarks and Extensions -- References -- A Complete Efficient FFT-Based Algorithm for Nonparametric Kernel Density Estimation -- 1 Introduction -- 2 Problem Demonstration -- 3 The Improved FFT-Based Algorithm for Density Estimation -- 4 Binning -- 5 Experiments -- 6 Conclusions -- References -- A Framework for Business Failure Prediction -- 1 Introduction -- 2 Related Work -- 3 The Dataset and the Proposed Framework -- 3.1 Details of Dataset -- 3.2 Proposed Framework -- 4 Performance Evaluation Results -- 5 Conclusions -- References -- Fuzzy Clustering with -Hyperballs and Its Application to Data Classification -- 1 Introduction -- 2 Fuzzy Clustering with -Hyperballs -- 3 FCH Based Classification -- 4 Results and Discussion -- 5 Conclusions -- References -- Two Modifications of Yinyang K-means Algorithm -- 1 Introduction -- 2 Yinyang K-means -- 3 Modifications of the Algorithm -- 3.1 Regrouping of Centroids -- 3.2 Initial Grouping and Regrouping Using Same-Size K-means -- 4 Experimental Results -- 5 Conclusions -- References -- Detection of the Innovative Logotypes on the Web Pages -- 1 Introduction -- 2 Related Works vs. Proposed Approach -- 3 Problem Description -- 4 System for Detection of Innovative Logotypes -- 4.1 System Overview -- 4.2 Learning Phase -- 5 Evaluation -- 5.1 Experiments and Their Results -- 6 Conclusion -- References -- Extraction and Interpretation of Textual Data from Czech Insolvency Proceedings -- 1 Introduction -- 2 Related Works -- 2.1 Document Classification -- 2.2 Clustering of Text Documents -- 2.3 Cluster Validity and Semantics Assignment -- 3 Document Pre-processing -- 4 Supporting Experiments -- 4.1 The First Set of Experiments - Inference of Creditors' Names -- 4.2 The Second Set of Experiments - Debt Structure and Origin. 5 Conclusions -- References -- Spectral Clustering for Cell Formation with Minimum Dissimilarities Distance -- Abstract -- 1 Introduction -- 2 Spectral Clustering and Cell Formation -- 2.1 Spectral Clustering -- 2.2 Cell Formation -- 2.3 A p-Median Problem -- 3 The Proposed Algorithm -- 4 Experimental Results -- 5 Conclusions -- References -- Exercise Recognition Using Averaged Hidden Markov Models -- 1 Introduction -- 2 HMM - Based Activity Models -- 3 Child Models -- 3.1 Sequences Concatenation Algorithm -- 3.2 Model Creation -- 4 Averaged HMM Activity Models -- 5 Action Recognition -- 6 Experiments and Results -- 7 Conclusions and Future Work -- References -- A Study of Cluster Validity Indices for Real-Life Data -- 1 Introduction -- 2 A New Cluster Validity Index -- 3 Experiments -- 3.1 Real-Life Data Sets -- 3.2 Comparison of Validity Indices -- 4 Conclusions -- References -- Improvement of the Validity Index for Determination of an Appropriate Data Partitioning -- 1 Introduction -- 2 Improvement of the Silhouette Index -- 2.1 The Detail Description of the Silhouette Index -- 2.2 Modification of the Silhouette Index -- 2.3 Remarks -- 3 Experimental Results -- 3.1 Data Sets -- 4 Conclusions -- References -- Stylometric Features for Authorship Attribution of Polish Texts -- 1 Introduction -- 2 Related Works -- 3 Datasets -- 4 Features -- 4.1 Part of Speech Tags -- 4.2 POS Bigrams -- 4.3 Function Words -- 5 Experiments -- 5.1 Comparison of Classifier Performance -- 5.2 Feature Selection: Sets of Attributes -- 5.3 Feature Selection: Individual Attributes -- 6 Conclusions -- References -- Handwriting Recognition with Extraction of Letter Fragments -- 1 Introduction -- 2 Preprocessing -- 3 Strokes Extraction -- 4 Strokes Classification -- 5 Pattern Search -- 6 Construction of Text Variants -- 7 Experimental Results -- 8 Conclusion -- References. Multidimensional Signal Transformation Based on Distributed Classification Grid and Principal Component Analysis -- 1 Introduction -- 2 Description of the Algorithm -- 3 Spectral Analysis and Estimation Method -- 4 Time-Frequency Analysis -- 5 Results -- 5.1 Procedure Description -- 5.2 Classification Results -- 5.3 Testable Classification Grid - Network Efficiency -- 5.4 Graphs of Results -- 6 Conclusions -- References -- Artificial Intelligence in Modeling, Simulation and Control -- The Concept on Nonlinear Modelling of Dynamic Objects Based on State Transition Algorithm and Genetic Programming -- 1 Introduction -- 2 State Transition Algorithm -- 3 Nonlinear Modelling with State Transition Algorithm and Genetic Programming -- 3.1 Nonlinear Modelling with the State Transition Algorithm -- 3.2 Simplifying Model with the Genetic Programming Paradigm -- 4 Simulation Results -- 5 Conclusions -- References -- A Method for Non-linear Modelling Based on the Capabilities of PSO and GA Algorithms -- 1 Introduction -- 2 Approximate Modeling of the Nonlinear Dynamic Object -- 3 Fuzzy Modeling of the Identified Parameters -- 4 Online Identification of the Operating Point -- 5 The Permanent Magnet Synchronous Motor -- 6 Experimental Results -- 7 Conclusions -- References -- Linguistic Habit Graphs Used for Text Representation and Correction -- 1 Introduction -- 2 Linguistic Habit Graphs -- 3 Associative Text Correction Methods -- 3.1 Checking Punctuation in Sentences -- 3.2 Semi--automatic Text Correction Methods -- 3.3 Comparison of the Text Correction Methods -- 4 Summary and Conclusion -- References -- Dynamic Epistemic Preferential Logic of Action -- 1 Introduction -- 1.1 Paper Motivation -- 1.2 The Paper Objectives and Paper Organization -- 2 Preliminaries -- 2.1 Traveling Salesman Problem as a Motivating Problem -- 3 Multi-Valued Preferential Logic (MVPL). 3.1 Interval-Based Semantics for MVPL -- 4 Dynamic Epistemic Logic for Actions -- 4.1 Syntax and Semantics of DELA -- 5 DEPLA for Actions and Preferences -- 5.1 Fibring Interval-Based Semantics for DEPLA -- 6 Fibring Semantics in Use -- 7 Concluding Remarks and Possible Research Areas -- References -- Proposal of a Multi-agent System for a Smart Outdoor Lighting Environment -- 1 Introduction -- 2 Smart Lighting Scenarios -- 3 Multi-agent System for Outdoor Lighting -- 4 Simulation Environment -- 5 Conclusions -- References -- Understanding Human Behavior in Intelligent Environments: A Context-Aware System Supporting Mountain Rescuers -- 1 Introduction -- 2 Preliminaries -- 2.1 Babia Góra -- 2.2 Basic Nomenclature -- 2.3 Towards Context Reasoning -- 3 System Description -- 3.1 Uses Cases for the System -- 3.2 Algorithms and Activities for the System -- 3.3 Reasoning -- 4 Conclusion -- References -- TLGProb: Two-Layer Gaussian Process Regression Model for Winning Probability Calculation in Two-Team Sports -- 1 Introduction -- 2 Problem Definition -- 3 Model Description -- 4 Experiments -- 4.1 NBA Dataset -- 4.2 Training of Our Model -- 4.3 Evaluation Metrics -- 4.4 Comparing to Other Predictive Models -- 4.5 Benefits of Getting Winning Probability -- 5 Conclusion and Future Work -- References -- Fuzzy PID Controllers with FIR Filtering and a Method for Their Construction -- 1 Introduction -- 2 PID Controllers, Fuzzy Systems and Filters -- 2.1 PID Controllers -- 2.2 Fuzzy Systems -- 2.3 Filters -- 3 Description of Proposed Controller Structure -- 3.1 Filtration Layer -- 3.2 PID Layer -- 3.3 Normalization Layer -- 3.4 Inference Layer -- 4 Description of Designing Method of Proposed Controller -- 4.1 Encoding of the Individuals -- 4.2 Processing of the Individuals -- 5 Simulations -- 5.1 Simulation Problem -- 5.2 Simulation Parameters. 5.3 Simulation Results. |
| Record Nr. | UNISA-996466204003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence and Soft Computing : 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part II / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada
| Artificial Intelligence and Soft Computing : 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part II / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXIV, 742 p. 247 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Image processing—Digital techniques Computer vision Algorithms Logic design Data mining Computers, Special purpose Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Logic Design Data Mining and Knowledge Discovery Special Purpose and Application-Based Systems |
| ISBN | 3-319-59060-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Data Mining -- Computer Based Stylometric Analysis of Texts in Polish Language -- 1 Introduction -- 2 Features Used in Stylometry -- 3 Performed Stylometric Analysis -- 3.1 Data Sets and Classes -- 3.2 Feature Generation Methods -- 3.3 Classification -- 4 Results -- 4.1 Stylometric Features -- 4.2 Training Set Size -- 4.3 Classifiers Accuracy -- 4.4 Statistical Features Importance -- 4.5 Grammatical Classes Importance -- 5 Summary -- References -- Integration Base Classifiers Based on Their Decision Boundary -- 1 Introduction -- 2 Basic Concept -- 3 Proposed Method -- 4 Experimental Studies -- 5 Conclusion -- References -- Complexity of Rule Sets Induced by Two Versions of the MLEM2 Rule Induction Algorithm -- 1 Introduction -- 2 Incomplete Data Sets -- 3 Probabilistic Approximations -- 4 Rule Induction -- 4.1 True MLEM2 -- 4.2 Emulated MLEM2 -- 5 Experiments -- 6 Conclusions -- References -- Spark-Based Cluster Implementation of a Bug Report Assignment Recommender System -- 1 Introduction -- 2 Related Work -- 3 The Recommender System -- 3.1 Datasets -- 3.2 Cleansing -- 3.3 Preprocessing and Feature Reduction -- 3.4 Training the Recommender -- 3.5 Implementation -- 4 Results and Discussion -- 4.1 Results of Dimensionality Reduction Techniques -- 4.2 Choice of SVM Kernel -- 4.3 Comparison with Previous Approaches and Scalability -- 5 Conclusion -- References -- The Bag-of-Words Method with Dictionary Analysis by Evolutionary Algorithm -- 1 Introduction -- 2 Description of Proposed Methods -- 3 Experimental Research -- 4 Conclusions -- References -- The Novel Method of the Estimation of the Fourier Transform Based on Noisy Measurements -- 1 Introduction -- 2 Orthogonal Series Estimation of Regression Function and Its Spectrum.
3 Nonparametric Orthogonal Series Estimation of Fourier Transform -- 4 Simulation Example -- 5 Remarks and Extensions -- References -- A Complete Efficient FFT-Based Algorithm for Nonparametric Kernel Density Estimation -- 1 Introduction -- 2 Problem Demonstration -- 3 The Improved FFT-Based Algorithm for Density Estimation -- 4 Binning -- 5 Experiments -- 6 Conclusions -- References -- A Framework for Business Failure Prediction -- 1 Introduction -- 2 Related Work -- 3 The Dataset and the Proposed Framework -- 3.1 Details of Dataset -- 3.2 Proposed Framework -- 4 Performance Evaluation Results -- 5 Conclusions -- References -- Fuzzy Clustering with -Hyperballs and Its Application to Data Classification -- 1 Introduction -- 2 Fuzzy Clustering with -Hyperballs -- 3 FCH Based Classification -- 4 Results and Discussion -- 5 Conclusions -- References -- Two Modifications of Yinyang K-means Algorithm -- 1 Introduction -- 2 Yinyang K-means -- 3 Modifications of the Algorithm -- 3.1 Regrouping of Centroids -- 3.2 Initial Grouping and Regrouping Using Same-Size K-means -- 4 Experimental Results -- 5 Conclusions -- References -- Detection of the Innovative Logotypes on the Web Pages -- 1 Introduction -- 2 Related Works vs. Proposed Approach -- 3 Problem Description -- 4 System for Detection of Innovative Logotypes -- 4.1 System Overview -- 4.2 Learning Phase -- 5 Evaluation -- 5.1 Experiments and Their Results -- 6 Conclusion -- References -- Extraction and Interpretation of Textual Data from Czech Insolvency Proceedings -- 1 Introduction -- 2 Related Works -- 2.1 Document Classification -- 2.2 Clustering of Text Documents -- 2.3 Cluster Validity and Semantics Assignment -- 3 Document Pre-processing -- 4 Supporting Experiments -- 4.1 The First Set of Experiments - Inference of Creditors' Names -- 4.2 The Second Set of Experiments - Debt Structure and Origin. 5 Conclusions -- References -- Spectral Clustering for Cell Formation with Minimum Dissimilarities Distance -- Abstract -- 1 Introduction -- 2 Spectral Clustering and Cell Formation -- 2.1 Spectral Clustering -- 2.2 Cell Formation -- 2.3 A p-Median Problem -- 3 The Proposed Algorithm -- 4 Experimental Results -- 5 Conclusions -- References -- Exercise Recognition Using Averaged Hidden Markov Models -- 1 Introduction -- 2 HMM - Based Activity Models -- 3 Child Models -- 3.1 Sequences Concatenation Algorithm -- 3.2 Model Creation -- 4 Averaged HMM Activity Models -- 5 Action Recognition -- 6 Experiments and Results -- 7 Conclusions and Future Work -- References -- A Study of Cluster Validity Indices for Real-Life Data -- 1 Introduction -- 2 A New Cluster Validity Index -- 3 Experiments -- 3.1 Real-Life Data Sets -- 3.2 Comparison of Validity Indices -- 4 Conclusions -- References -- Improvement of the Validity Index for Determination of an Appropriate Data Partitioning -- 1 Introduction -- 2 Improvement of the Silhouette Index -- 2.1 The Detail Description of the Silhouette Index -- 2.2 Modification of the Silhouette Index -- 2.3 Remarks -- 3 Experimental Results -- 3.1 Data Sets -- 4 Conclusions -- References -- Stylometric Features for Authorship Attribution of Polish Texts -- 1 Introduction -- 2 Related Works -- 3 Datasets -- 4 Features -- 4.1 Part of Speech Tags -- 4.2 POS Bigrams -- 4.3 Function Words -- 5 Experiments -- 5.1 Comparison of Classifier Performance -- 5.2 Feature Selection: Sets of Attributes -- 5.3 Feature Selection: Individual Attributes -- 6 Conclusions -- References -- Handwriting Recognition with Extraction of Letter Fragments -- 1 Introduction -- 2 Preprocessing -- 3 Strokes Extraction -- 4 Strokes Classification -- 5 Pattern Search -- 6 Construction of Text Variants -- 7 Experimental Results -- 8 Conclusion -- References. Multidimensional Signal Transformation Based on Distributed Classification Grid and Principal Component Analysis -- 1 Introduction -- 2 Description of the Algorithm -- 3 Spectral Analysis and Estimation Method -- 4 Time-Frequency Analysis -- 5 Results -- 5.1 Procedure Description -- 5.2 Classification Results -- 5.3 Testable Classification Grid - Network Efficiency -- 5.4 Graphs of Results -- 6 Conclusions -- References -- Artificial Intelligence in Modeling, Simulation and Control -- The Concept on Nonlinear Modelling of Dynamic Objects Based on State Transition Algorithm and Genetic Programming -- 1 Introduction -- 2 State Transition Algorithm -- 3 Nonlinear Modelling with State Transition Algorithm and Genetic Programming -- 3.1 Nonlinear Modelling with the State Transition Algorithm -- 3.2 Simplifying Model with the Genetic Programming Paradigm -- 4 Simulation Results -- 5 Conclusions -- References -- A Method for Non-linear Modelling Based on the Capabilities of PSO and GA Algorithms -- 1 Introduction -- 2 Approximate Modeling of the Nonlinear Dynamic Object -- 3 Fuzzy Modeling of the Identified Parameters -- 4 Online Identification of the Operating Point -- 5 The Permanent Magnet Synchronous Motor -- 6 Experimental Results -- 7 Conclusions -- References -- Linguistic Habit Graphs Used for Text Representation and Correction -- 1 Introduction -- 2 Linguistic Habit Graphs -- 3 Associative Text Correction Methods -- 3.1 Checking Punctuation in Sentences -- 3.2 Semi--automatic Text Correction Methods -- 3.3 Comparison of the Text Correction Methods -- 4 Summary and Conclusion -- References -- Dynamic Epistemic Preferential Logic of Action -- 1 Introduction -- 1.1 Paper Motivation -- 1.2 The Paper Objectives and Paper Organization -- 2 Preliminaries -- 2.1 Traveling Salesman Problem as a Motivating Problem -- 3 Multi-Valued Preferential Logic (MVPL). 3.1 Interval-Based Semantics for MVPL -- 4 Dynamic Epistemic Logic for Actions -- 4.1 Syntax and Semantics of DELA -- 5 DEPLA for Actions and Preferences -- 5.1 Fibring Interval-Based Semantics for DEPLA -- 6 Fibring Semantics in Use -- 7 Concluding Remarks and Possible Research Areas -- References -- Proposal of a Multi-agent System for a Smart Outdoor Lighting Environment -- 1 Introduction -- 2 Smart Lighting Scenarios -- 3 Multi-agent System for Outdoor Lighting -- 4 Simulation Environment -- 5 Conclusions -- References -- Understanding Human Behavior in Intelligent Environments: A Context-Aware System Supporting Mountain Rescuers -- 1 Introduction -- 2 Preliminaries -- 2.1 Babia Góra -- 2.2 Basic Nomenclature -- 2.3 Towards Context Reasoning -- 3 System Description -- 3.1 Uses Cases for the System -- 3.2 Algorithms and Activities for the System -- 3.3 Reasoning -- 4 Conclusion -- References -- TLGProb: Two-Layer Gaussian Process Regression Model for Winning Probability Calculation in Two-Team Sports -- 1 Introduction -- 2 Problem Definition -- 3 Model Description -- 4 Experiments -- 4.1 NBA Dataset -- 4.2 Training of Our Model -- 4.3 Evaluation Metrics -- 4.4 Comparing to Other Predictive Models -- 4.5 Benefits of Getting Winning Probability -- 5 Conclusion and Future Work -- References -- Fuzzy PID Controllers with FIR Filtering and a Method for Their Construction -- 1 Introduction -- 2 PID Controllers, Fuzzy Systems and Filters -- 2.1 PID Controllers -- 2.2 Fuzzy Systems -- 2.3 Filters -- 3 Description of Proposed Controller Structure -- 3.1 Filtration Layer -- 3.2 PID Layer -- 3.3 Normalization Layer -- 3.4 Inference Layer -- 4 Description of Designing Method of Proposed Controller -- 4.1 Encoding of the Individuals -- 4.2 Processing of the Individuals -- 5 Simulations -- 5.1 Simulation Problem -- 5.2 Simulation Parameters. 5.3 Simulation Results. |
| Record Nr. | UNINA-9910483796403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence and Soft Computing : 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part I / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada
| Artificial Intelligence and Soft Computing : 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part I / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXIV, 776 p. 293 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Image processing—Digital techniques Computer vision Algorithms Logic design Data mining Computers, Special purpose Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Logic Design Data Mining and Knowledge Discovery Special Purpose and Application-Based Systems |
| ISBN | 3-319-59063-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Neural Networks and Their Applications -- Author Profiling with Classification Restricted Boltzmann Machines -- 1 Introduction -- 2 Author Profile Dimensions -- 3 Restricted Boltzmann Machines -- 4 Probabilities and Gradients -- 4.1 Discriminative Training -- 4.2 Generative Training -- 5 Evaluation Datasets -- 6 Experiments and Results -- 6.1 Overall Results -- 7 Conclusions -- References -- Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm -- 1 Introduction -- 2 Givens Elimination Step -- 3 Givens QR Decomposition -- 4 QR Decomposition in Neural Network Weights Update -- 5 Parallel Implementation -- 6 Simulation Results -- 7 Conclusion -- References -- Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation -- 1 Introduction -- 2 Parallel Realisation -- 2.1 Calculating the Weight Derivatives Without Error Backpropagation -- 2.2 Calculating the A Matrix and the Gradient Vector -- 2.3 The QR Decomposition Based on the Householser Reflections -- 3 Computational Results -- 4 Conclusions -- References -- Spectral Analysis of CNN for Tomato Disease Identification -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Spectral Analysis of CNN for Tomato Disease -- 3.1 Deep Visualization of CNN -- 3.2 Color Sensitivity of RGB Images -- 3.3 Sensitivity to Color with Different Wavelength Values -- 3.3.1 Visible Spectrum of Images -- 4 Experimental Results -- 4.1 Dataset Description -- 4.2 CNN Activations and Features Visualization -- 4.2.1 Activations of Neurons -- 4.2.2 RGB Color Sensitivity -- 4.2.3 Feature Maps -- 5 Conclusion and Future Work -- Acknowledgments -- References -- From Homogeneous Network to Neural Nets with Fractional Derivative Mechanism -- 1 Introduction -- 2 Weight Distribution with Fractional Calculus.
3 Fractional Derivative Inside Neuron Transfer Function -- 4 The Fractional Mechanism Within 2D Homogeneous Network -- 5 Conclusion -- References -- Neurons Can Sort Data Efficiently -- 1 Introduction -- 2 Models of Neurons, Receptors, and the Senses -- 2.1 Sensory Fields and Sensors -- 2.2 Extreme, Sensory and Object Neurons -- 3 Simplistic Sequential Neural Associative Sorting -- 4 Conclusions and Remarks -- References -- Avoiding Over-Detection: Towards Combined Object Detection and Counting -- 1 Introduction -- 2 Related Work -- 2.1 Deep Learning Methods for Object Detection -- 2.2 Deep Learning Methods for Cell Detection -- 3 Method -- 3.1 Loss Function -- 3.2 Model Architecture -- 4 Results -- 5 Conclusion -- References -- Echo State Networks Simulation of SIR Distributed Control -- 1 Introduction -- 2 Echo State Networks -- 3 SIR Model with Delay and Spatial Diffusions -- 3.1 Distributed Optimal Control Problem -- 4 Discretisation and Adaptive Critic Neural Networks Solution of the Distributed Optimal Control -- 4.1 Numerical Simulation -- 5 Conclusion -- References -- The Study of Architecture MLP with Linear Neurons in Order to Eliminate the ``vanishing Gradient'' Problem -- 1 Introduction -- 2 Nonlinearity capabilities of deep neural networks -- 3 Approach for Resolving Vanishing Gradient Problem -- 4 Experimental Results -- 5 Conclusions -- References -- Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification -- 1 Introduction -- 2 Nonlinear Function Learning -- 3 Recursive Classification Rules -- 4 Consistency and Rates of Convergence -- 4.1 Convergence Results -- 4.2 Outlines of Proofs -- 5 Conclusions -- References -- Solar Event Classification Using Deep Convolutional Neural Networks -- 1 Introduction -- 2 Background -- 2.1 Convolutional Neural Networks. 2.2 Solar Event Classification -- 3 Methods -- 3.1 Data -- 3.2 CNN Architectures -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Evaluation of the Models -- 4.3 Comparison with Conventional Methods -- 5 Conclusions -- References -- Sequence Learning in Unsupervised and Supervised Vector Quantization Using Hankel Matrices -- 1 Introduction -- 2 Hankel Matrices - Mathematical Description and Properties -- 2.1 General Definition of Hankel Matrices -- 2.2 Dissimilarity Measures for Hankel Matrices -- 3 Unsupervised and Supervised Neural Vector Quantization for Hankel matrices -- 3.1 Unsupervised Neural Vector Quantization -- 3.2 Supervised Neural Vector Quantization -- 3.3 Hankel Matrices and Neural Vector Quantization -- 4 Existing Application Scenarios and New Perspectives for DNA Sequence Analysis -- 5 Conclusion -- References -- Discrete Cosine Transformation as Alternative to Other Methods of Computational Intelligence for Function Approximation -- 1 Introduction -- 2 Discrete Cosine Transform -- 3 Reduction of the System Size with DCT -- 4 Converting Randomly Distributed Patterns into a Regular Grid -- 5 Comparison of Selected Methods -- 6 Conclusions -- References -- Improvement of RBF Training by Removing of Selected Pattern -- 1 Introduction -- 2 Reduction of the Number of Training Patterns -- 2.1 Error Correction Algorithm -- 2.2 Proposed Methodologies -- 3 Experimental Results -- 3.1 Peaks Function -- 3.2 Rastrigin Function -- 3.3 Schaffer Function -- 4 Conclusions -- References -- Exploring the Solution Space of the Euclidean Traveling Salesman Problem Using a Kohonen SOM Neural Network -- 1 Introduction -- 2 Short Formulation of the ETSP Problem -- 3 The Kohonen SOM Algorithm for Solving ETSP -- 3.1 SOM Learning -- 4 Exploring ETSP Solution Space -- 4.1 Starting Solutions. 4.2 Computing the Tour Corresponding to the Actual Neuron's Locations -- 4.3 Algorithm -- 5 Simulation Study Using TSPLIB Examples -- 5.1 Pbc3038 Problem (TSPLIB) -- 5.2 pbc1173 Problem (TSPLIB) -- 5.3 bier127 Problem TSPLIB -- 6 Comments and Conclusions -- References -- Resolution Invariant Neural Classifiers for Dermoscopy Images of Melanoma -- 1 Introduction -- 1.1 Medical Background -- 1.2 Wavelets -- 1.3 Melanoma CAD with ANN -- 1.4 Motivation -- 2 Data Analysis -- 2.1 Signal Processing -- 2.2 Wavelet Features -- 2.3 Machine Learning -- 3 Results and Discussion -- References -- Application of Stacked Autoencoders to P300 Experimental Data -- 1 Introduction -- 1.1 P300 Brain-Computer Interfaces -- 1.2 Aims of this Paper -- 2 Theoretical Background -- 2.1 Deep Learning Models -- 2.2 Stacked Autoencoders -- 3 Experimental Design -- 3.1 Measurement -- 3.2 Guess the Number Application for On-line and Off-line BCI Classification -- 4 P300 Detection -- 4.1 Preprocessing and Feature Extraction -- 4.2 Classification -- 5 Results -- 6 Discussion and Future Work -- References -- NARX Neural Network for Prediction of Refresh Timeout in PIM--DM Multicast Routing -- 1 Introduction -- 2 PIM--DM -- 3 PIM--DM Protocol Overview -- 4 PIM--DM Protocol State -- 5 Refresh Timeout -- 6 Nonlinear Autoregressive Network for Prediction of Refresh Timeout -- 7 Simulation Results -- 8 Conclusions -- References -- Evolving Node Transfer Functions in Deep Neural Networks for Pattern Recognition -- 1 Introduction -- 2 Evolution of Deep Neural Networks -- 3 Pattern Recognition Benchmarks -- 3.1 Brodatz Textures -- 3.2 Handwritten Digits -- 3.3 COIL-100 -- 4 Experimental Setting -- 4.1 Initial Architecture of the Deep Neural Network -- 4.2 Node Transfer Functions -- 4.3 Representation of the Deep Evolutionary Neural Network -- 4.4 Search Operators -- 5 Results -- 6 Conclusions. References -- A Neural Network Circuit Development via Software-Based Learning and Circuit-Based Fine Tuning -- Abstract -- 1 Introduction -- 2 Memristor-Based Neural Network -- 2.1 The Memristor Bridge Synapse -- 2.2 Memristor-Based Neural Networks -- 3 Proposed Hybrid Learning: Hardware Friendly Error-Backpropagation and Circuit-Based Complementary ... -- 3.1 Random Weight Change Algorithm for Circuit-Based Learning -- 3.2 Hybrid Learning: Software-Based Confined Learning and Circuit-Based Complementary Learning with ... -- 4 Simulation Results -- 5 Conclusions -- References -- Fuzzy Systems and Their Applications -- A Comparative Study of Two Novel Approaches to the Rule-Base Evidential Reasoning -- 1 Introduction -- 2 Preliminaries -- 2.1 The Basics of DST -- 2.2 The Basics of A-IFS -- 2.3 Interpretation of A-IFS in the Framework of DST -- 3 Two New Approaches to the Rule-Based Evidential Reasoning: Comparative Study -- 4 Conclusion -- References -- STRIPS in Some Temporal-Preferential Extension -- 1 Introduction -- 1.1 The Paper Motivation and Objectives -- 1.2 The Paper Organization -- 2 Terminological Background of the Paper Analysis -- 2.1 STRIPS -- in the Original Nilsson's Depiction -- 2.2 Fuzzy Temporal Constraints and Preferences Based on Them -- 3 Fuzzy Temporal Constraints and Global Preferences in STRIPS -- 4 TP-STRIPS in Use -- 5 Towards a Generalization and Closing Remarks -- References -- Geometrical Interpretation of Impact of One Set on Another Set -- 1 Introduction -- 2 Matching of Fuzzy Sets -- 3 Matching of Multisets -- 4 Conclusions -- References -- A Method for Nonlinear Fuzzy Modelling Using Population Based Algorithm with Flexibly Selectable Operators -- 1 Introduction -- 2 Description of Proposed Method -- 2.1 Description of Neuro-Fuzzy System Used for Nonlinear Modeling -- 2.2 Encoding of the Individuals. 2.3 Evaluation of the Individuals. |
| Record Nr. | UNINA-9910483796203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence and Soft Computing [[electronic resource] ] : 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada
| Artificial Intelligence and Soft Computing [[electronic resource] ] : 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XXIV, 770 p. 271 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Computers Database management Information storage and retrieval Optical data processing Artificial Intelligence Information Systems Applications (incl. Internet) Computation by Abstract Devices Database Management Information Storage and Retrieval Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-319-39384-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural networks and their applications -- Fuzzy systems and their applications -- Evolutionary algorithms and their applications -- Agent systems, robotics and control -- Pattern classification -- Bioinformatics, biometrics and medical applications -- Data mining -- Artificial intelligence in modeling and simulation -- Visual information coding meets machine learning -- Various problems of artificial intelligence. |
| Record Nr. | UNISA-996465711603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence and Soft Computing [[electronic resource] ] : 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part I / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada
| Artificial Intelligence and Soft Computing [[electronic resource] ] : 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part I / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XXIV, 786 p. 234 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Computers Database management Information storage and retrieval Optical data processing Artificial Intelligence Information Systems Applications (incl. Internet) Computation by Abstract Devices Database Management Information Storage and Retrieval Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-319-39378-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural networks and their applications -- Fuzzy systems and their applications -- Evolutionary algorithms and their applications -- Agent systems, robotics and control -- Pattern classification -- Bioinformatics, biometrics and medical applications -- Data mining -- Artificial intelligence in modeling and simulation -- Visual information coding meets machine learning -- Various problems of artificial intelligence. |
| Record Nr. | UNISA-996465710903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence and Soft Computing : 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada
| Artificial Intelligence and Soft Computing : 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XXIV, 770 p. 271 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Computer science Database management Information storage and retrieval systems Image processing—Digital techniques Computer vision Artificial Intelligence Computer and Information Systems Applications Theory of Computation Database Management Information Storage and Retrieval Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-319-39384-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural networks and their applications -- Fuzzy systems and their applications -- Evolutionary algorithms and their applications -- Agent systems, robotics and control -- Pattern classification -- Bioinformatics, biometrics and medical applications -- Data mining -- Artificial intelligence in modeling and simulation -- Visual information coding meets machine learning -- Various problems of artificial intelligence. |
| Record Nr. | UNINA-9910484457803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence and Soft Computing : 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part I / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada
| Artificial Intelligence and Soft Computing : 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part I / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XXIV, 786 p. 234 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Computer science Database management Information storage and retrieval systems Image processing—Digital techniques Computer vision Artificial Intelligence Computer and Information Systems Applications Theory of Computation Database Management Information Storage and Retrieval Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-319-39378-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural networks and their applications -- Fuzzy systems and their applications -- Evolutionary algorithms and their applications -- Agent systems, robotics and control -- Pattern classification -- Bioinformatics, biometrics and medical applications -- Data mining -- Artificial intelligence in modeling and simulation -- Visual information coding meets machine learning -- Various problems of artificial intelligence. |
| Record Nr. | UNINA-9910483690403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence and Soft Computing [[electronic resource] ] : 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-18, 2015, Proceedings, Part I / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada
| Artificial Intelligence and Soft Computing [[electronic resource] ] : 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-18, 2015, Proceedings, Part I / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XXVI, 804 p. 292 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Computers Database management Information storage and retrieval Optical data processing Artificial Intelligence Information Systems Applications (incl. Internet) Computation by Abstract Devices Database Management Information Storage and Retrieval Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-319-19324-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks and Their Applications -- Parallel approach to the Levenberg-Marquardt learning algorithm for feed forward neural networks -- Microarray Leukemia Gene Data Clustering by Means of Generalized Self-Organizing Neural Networks with Evolving Tree-Like Structures -- Innovative Types and Abilities of Neural Networks Based on Associative Mechanisms and a New Associative Model of Neurons -- Complexity of shallow networks representing finite mappings -- Probabilistic Neural Network Training Procedure with the Use of SARSA Algorithm -- Extensions of Hopeld Neural Networks for solving of stereo-matching Problem -- Molecular approach to Hopeld neural network -- Toward work groups classification based on probabilistic neural network Approach -- Adaptation of RBM learning for Intel MIC architecture -- Using an Artificial Neural Network to Predict Loop Transformation Time -- Using Parity-N problems as a way to compare abilities of shallow, very shallow and very deep architectures -- Product Multi-kernels for Sensor Data Analysis -- Fuzzy Systems and Their Applications -- A Fuzzy Approach to Competitive Clusters Using Moore Families -- A Fingerprint Retrieval Technique using Fuzzy Logic-based Rules -- Initial Comparison of Formal Approaches to Fuzzy and Rough Sets -- Comparative approach to the multi-valued logic construction for Preferences -- Learning Rules for Type-2 Fuzzy Logic System in The Control of DeNOx Filter -- Selected Applications of P1-TS Fuzzy Rule-Based Systems -- Fuzzy Agglomerative Clustering -- An exponential-type entropy measure on intuitionistic fuzzy sets -- Comparative Analysis of MCDM Methods for Assessing the Severity of Chronic Liver Disease -- Solving Zadeh's challenge problems with the application of RDM-arithmetic -- The Directed Compatibility Between Ordered Fuzzy Numbers - a Base Tool for a Direction Sensitive Fuzzy Information Processing -- Learning Rules for Hierarchical Fuzzy Logic Systems with Selective Fuzzy Controller Activation -- A new approach to the rule-base evidential reasoning with application -- Bias-correction fuzzy c-regressions algorithm -- Interval Type-2 Locally Linear Neuro Fuzzy Model based on Locally Linear Model Tree -- Evolutionary Algorithms and Their Applications -- Hybrids of two-subpopulation PSO algorithm with local search methods for continuous optimization -- Parallel coevolutionary algorithm for three-dimensional bin packing Problem -- Adaptive Differential Evolution: SHADE with Competing Crossover Strategies -- A Parallel Approach for Evolutionary Induced Decision Trees -- MPI+OpenMP Implementation -- On the ability of the one-point crossover operator to search the space in a genetic algorithm -- Multiple Choice Strategy for PSO Algorithm Enhanced with Dimensional Mutation -- A hybrid differential evolution-gradient optimization method -- On the Tuning of Complex Dynamics Embedded into Differential Evolution -- IV Classification and Estimation -- Mathematical Characterization of Sophisticated Variants for Relevance Learning in Learning Matrix Quantization Based on Schatten-p-norms -- Adaptive Active Learning with Ensemble of Learners and Multiclass Problems -- Orthogonal Series Estimation of Regression Functions in Nonstationary Conditions -- A comparison of shallow decision trees under real-boost procedure in application to landmine detection using Ground Penetrating Radar -- A new Interpretability Criteria for Neuro-fuzzy Systems for Nonlinear Classification -- Multi-class nearest neighbor classier for incomplete data handling -- Cross-Entropy Clustering approach to One-class classification -- Comparison of the Efficiency of Time and Frequency Descriptors Based on the Different Classification Conceptions -- CNC Milling Tool Head Imbalance Prediction Using Computational Intelligence Methods -- A Feature-based Machine Learning Agent for Automatic Rice and Weed Discrimination -- Relation of average error in Prolate Spheroidal Wave Functions algorithm for bandlimited functions approximation to radius of information -- Algebraic Logical Meta-Model of Decision Processes - New Metaheuristics -- Specific object detection scheme based on descriptors fusion using belief Functions -- Video Key Frame Detection Based on SURF Algorithm -- Automatic Diagnosis of Melanoid Skin Lesions Using Machine Learning Methods -- An Edge Detection using 2D Gaussian Function in Computed Tomography -- Facial displays description schemas for smiling vs. neutral emotion Recognition -- Image Segmentation in Liquid Argon Time Projection Chamber Detector -- Massively parallel change detection with application to visual quality Control -- A Fuzzy Logic Approach for Gender Recognition from face Images with embedded Bandlets -- Interpretation of image segmentation in terms of justifiable granularity -- Information Granules in Application to Image Recognition -- Can we process 2D images using Artificial Bee Colony? -- Workshop: Large-Scale Visual Recognition and Machine Learning -- Improving effectiveness of SVM classier for large scale data -- Reducing time complexity of SVM model by LVQ data compression -- Secure Representation of Images Using Multi-layer Compression -- Images Indexing and Retrieval Using GSOM Algorithm -- Multi-layer Architecture For Storing Visual Data Based on WCF and Microsoft SQL Server Database -- Object Localization Using Active Partitions and Structural Description -- Supervised Transform Learning for Face Recognition -- Fast Dictionary Matching for Content-based Image Retrieval -- Recognition and Modeling of Atypical Children Behavior -- Intelligent Fusion of Infrared and Visible Spectrum for Video Surveillance Application -- Visual Saccades for Object Recognition -- Improving Image Processing Performance using Database User-Defined Functions. |
| Record Nr. | UNISA-996198525703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence and Soft Computing [[electronic resource] ] : 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-18, 2015, Proceedings, Part II / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada
| Artificial Intelligence and Soft Computing [[electronic resource] ] : 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-18, 2015, Proceedings, Part II / / edited by Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XXVI, 814 p. 241 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Computers Database management Information storage and retrieval Optical data processing Artificial Intelligence Information Systems Applications (incl. Internet) Computation by Abstract Devices Database Management Information Storage and Retrieval Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-319-19369-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Mining -- Improvement of the multiple-view learning based on the self-organizing Maps -- Natural Language Processing Methods Used for Automatic Prediction Mechanism of Related Phenomenon -- Visual Exploration of Data with Multithread MIC Computer Architectures -- Random Forests with Weighted Voting for Anomalous Query Access Detection in Relational Databases -- Performance evaluation of the Silhouette index -- Convex Nonnegative Matrix Factorization with Rank-1 Update for Clustering -- Bioinformatics, Biometrics and Medical Applications -- On the Convergence of Quantum and Distributed Computational Models of Consciousness -- Nature-inspired Algorithms for Selecting EEG Sources for Motor Imagery based BCI -- PROCESS: Projection-based Classification of Electroencephalograph Signals -- Feature Extraction of Palm Vein Patterns Based on Two-Dimensional Density Function -- Segmentation Based Feature Selection on Classifying Proteomic Spectral Data -- SOM vs FCM vs PCA in 3d face recognition -- The Fuzzied Quasi-perception in Decision Making Concerning Treatments in Necrotizing Fasciitis -- Mobile Fuzzy System for Detecting Loss of Consciousness and Epileptic Seizure -- Customization of Joint Articulations using Soft Computing Methods -- A new method for the dynamic signature verification based on the stable partitions of the signature -- New fast algorithm for the dynamic signature verification using global features values -- IX Concurrent Parallel Processing -- Parallelization of a Block Cipher Based on Chaotic Neural Networks -- Acceleration of neighborhood evaluation for a multi-objective vehicle Routing -- A concurrent inconsistency reduction algorithm for the pairwise comparisons method -- OpenCL implementation of PSO algorithm for Quadratic Assignment Problem -- Agent Systems, Robotics and Control -- Towards a better understanding and behavior recognition of inhabitants in smart cities. A public transport case -- Aspects of structure and parameters selection of control systems using selected multi-population algorithms -- Optimization of controller structure using evolutionary algorithm -- Multi-criteria fuel distribution: a case study -- A Robust Heuristic for the Multidimensional A-star/Wavefront Hybrid Planning Algorithm -- Human-Agent Interaction Design for Decreasing Indebtedness -- XI Artificial Intelligence in Modeling and Simulation -- Fuzzy Xor Classes from Quantum Computing -- New method for non-linear correction modelling of dynamic objects with genetic programming -- Clustering algorithm based on molecular dynamics with Nose-Hoover thermostat. Application to Japanese candlesticks -- Improving the analysis of context-aware information via marker-based stigmergy and differential evolution -- Modeling manufacturing processes with disturbances - a new method based on algebraic-logical meta-model -- A new approach to nonlinear modeling based on significant operating points detection -- An Application of Differential Evolution to Positioning Queueing Systems -- Experimental evaluation of selected approaches to covariance matrix Regularization -- A new approach to Security Games -- Proposal of a context-aware smart home ecosystem -- Computational models of immediate and expected emotions for emotional BDI agents -- A Graph Grammar Tool for Generating Computational Grid Structures -- Assessment of fertilizer nitrogen requirement of sugar beetroot using Info-Gap Theory -- Geometric approach in local modeling: learning of mini-models based on n-dimensional simplex -- Immune Optimal Design of 2-D and 3-D Structures -- Swarm and immune computing of dynamically loaded reinforced structures -- The setup method of the order with the help of the rough sets convention -- ALMM Solver: the Idea and the Architecture -- Graph-based Optimization of Energy Efficiency of Street Lighting -- Extended AMUSE algorithm and novel randomness approach for BSS model aggregation with methodology remarks -- Various Problems of Artificial Intelligence -- Constraint Optimization Production Planning Problem. A Note on Theory, Selected Approaches and Computational Experiments -- Investigating the Mapping between Default Logic and Inconsistency- Tolerant Semantics -- Automated discovery of mobile users locations with improved K-means Clustering -- Capturing dynamics of mobile context-aware systems with rules and statistical analysis of historical data -- Reasoning over Vague Concepts -- Parallel simulated annealing algorithm for cyclic flexible job shop scheduling problem -- Transactional Forward Chaining: A Functional Approach -- Metasets and Opinion Mining in New Decision Support System -- Practical Approach to Interoperability in Production Rule Bases with SUBITO -- Measuring Complexity of Business Process Models Integrated with Rules -- On Perturbation Measure for Binary Vectors -- A Quick Method For Dynamic Di culty Adjustment of a Computer Player in Computer Games -- UCT-based approach to Capacitated Vehicle Routing Problem -- An Improved Magnetotactic Bacteria Moment Migration Optimization Algorithm -- SBVRwiki a Web-based Tool for Authoring of Business Rules -- Classification in sparse, high dimensional environments applied to distributed systems failure prediction -- Balanced Support Vector Regression -- Adaptation mechanism of feedback in quaternion Kalman ltering for orientation estimation -- Using Graph Grammar Systems with Memory in Computer Aided Design -- Software Framework for Modular Machine Learning Systems -- Parallel cost function determination on GPU for the vehicle routing Problem -- A DSS based on hybrid meta-heuristic ILS-VND for solving the 1-PDTSP -- On Enhancing the Label Propagation Algorithm for Sentiment Analysis Using Active Learning with an Artificial Oracle. . |
| Record Nr. | UNISA-996198525403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
