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Advances in Artificial Intelligence [[electronic resource] ] : 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, San Luis Potosi, Mexico, October 27 - November 4, 2012. Revised Selected Papers, Part I / / edited by Ildar Batyrshin, Miguel González Mendoza
| Advances in Artificial Intelligence [[electronic resource] ] : 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, San Luis Potosi, Mexico, October 27 - November 4, 2012. Revised Selected Papers, Part I / / edited by Ildar Batyrshin, Miguel González Mendoza |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXVI, 483 p. 157 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Health informatics Application software Information storage and retrieval Computer science Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Health Informatics Information Systems Applications (incl. Internet) Information Storage and Retrieval Computer Science, general |
| ISBN | 3-642-37807-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine learning and pattern recognition -- Computer vision and image processing -- Robotics -- Knowledge representation, reasoning, and scheduling -- Medical applications of artificial intelligence. |
| Record Nr. | UNISA-996466200503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Artificial Intelligence : 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, San Luis Potosi, Mexico, October 27 - November 4, 2012. Revised Selected Papers, Part I / / edited by Ildar Batyrshin, Miguel González Mendoza
| Advances in Artificial Intelligence : 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, San Luis Potosi, Mexico, October 27 - November 4, 2012. Revised Selected Papers, Part I / / edited by Ildar Batyrshin, Miguel González Mendoza |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXVI, 483 p. 157 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Health informatics Application software Information storage and retrieval Computer science Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Health Informatics Information Systems Applications (incl. Internet) Information Storage and Retrieval Computer Science, general |
| ISBN | 3-642-37807-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine learning and pattern recognition -- Computer vision and image processing -- Robotics -- Knowledge representation, reasoning, and scheduling -- Medical applications of artificial intelligence. |
| Record Nr. | UNINA-9910484050003321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Artificial Intelligence [[electronic resource] ] : 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, November 26 - December 4, 2011, Proceedings, Part I / / edited by Ildar Batyrshin, Grigori Sidorov
| Advances in Artificial Intelligence [[electronic resource] ] : 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, November 26 - December 4, 2011, Proceedings, Part I / / edited by Ildar Batyrshin, Grigori Sidorov |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (XXV, 596 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Application software Pattern recognition Data mining Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Information Systems Applications (incl. Internet) Pattern Recognition Data Mining and Knowledge Discovery |
| ISBN | 3-642-25324-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Title -- Preface -- Organization -- Table of Contents -- Automated Reasoning and Multi-Agent Systems -- Case Studies on Invariant Generation Using a Saturation Theorem Prover -- Introduction -- Preliminaries -- Symbol Elimination and Invariant Generation in Vampire -- Program Analysis in Vampire -- Theory Reasoning in Vampire -- Symbol Elimination in Vampire -- Pruning Generated Invariants -- Proving Invariants, Postconditions, and Assertions -- Experimental Results -- Challenging Benchmarks -- Industrial Examples -- Analysis of Experiments -- Related Work -- Conclusions -- References -- Characterization of Argumentation Semantics in Terms of the MMr Semantics -- Introduction -- Background -- Syntax and Some Operations -- The MMr Semantics -- Argumentation Theory -- Relation between CF2 and MMr -- Preferred Extension and MMr Semantics -- Conclusions -- References -- Learning Probabilistic Description Logics: A Framework and Algorithms -- Introduction -- Basics -- Description Logics -- Probabilistic Description Logics and crALC -- Learning Description Logics -- Learning with the PDL crALC -- The Probabilistic Score Function -- The Algorithm to Learn Probabilistic Terminologies -- Experiments -- Experiments on Description Logic Learning -- Experiments on Learning Probabilistic Terminologies -- Conclusion -- References -- Belief Merging Using Normal Forms -- Introduction -- Preliminaries -- Normal Partial Satisfiability -- Comparing Results -- Postulates -- Algorithm PS-Merge -- Prime Implicant-Based Merging -- Conclusion -- References -- Toward Justifying Actions with Logically and Socially Acceptable Reasons -- Introduction -- Background and Objectives -- Related Work -- Motivating Example -- Logical Preliminaries -- Structuring Arguments and Defeat Functions -- Practical and Theoretical Arguments.
Theoretical, Preference-Based and Welfare-Based Defeats -- Justifying Logically and Socially Acceptable Reasons -- Analyzing Structured Practical Argumentation Frameworks -- Analyzing Layered Practical Argumentation Frameworks -- Illustrative Example -- Conclusions and Future Work -- References -- A Complex Social System Simulation Using Type-2 Fuzzy Logic and Multiagent System -- Introduction -- Representation of Uncertainty in a MAS -- Simulation of a Social Complex System -- Interactions between Agents -- Use of Type-2 Fuzzy Logic -- Simulation Results -- Conclusions and Future Work -- References -- Computing Mobile Agent Routes with Node-Wise Constraints in Distributed Communication Systems -- Introduction -- Problem Formulation -- Algorithm Description -- Dynamic Programming (DP) Algorithm -- General Description of the FPTAS -- Stage A: Finding Preliminary Lower and Upper Bounds for PN1 -- Stage B: Finding Improved Bounds for PN1 -- Stage C: The \epsilon-Approximation Algorithm -- Discussion and Concluding Remarks -- References -- Collaborative Redundant Agents: Modeling the Dependences in the Diversity of the Agents' Errors -- Introduction -- Related Work -- A Model of Dependences for Collaborative Agents -- Experiments and Analyses -- Conclusions and Future Work -- Modeling and Using Dependences in Trust and Reputation Networks -- References -- Strategy Patterns Prediction Model (SPPM) -- Introduction -- RoboCup 2D Soccer Simulator -- Knowledge Base Creation -- In-Game Features -- Results Obtained -- Conclusions and Further Work -- References -- Fuzzy Case-Based Reasoning for Managing Strategic and Tactical Reasoning in StarCraft -- Introduction -- Related Work -- Strategic Reasoning -- Strategy Selection -- Case Representation for Strategies -- Methodology to Build the Case Base -- Matching Treat -- Tactical Reasoning. Abstraction of the Space -- Fuzzy Case Representation -- Fuzzy Sets and Case Base -- Fuzzy Matching Method -- Experiments and Results -- Conclusions and Future Work -- References -- Problem Solving and Machine Learning -- Variable and Value Ordering Decision Matrix Hyper-heuristics: A Local Improvement Approach -- Introduction -- Solution Approach -- Variable and Value Ordering -- CSP Instances and the Problem State Representation -- The Decision Matrix Hyper-heuristic and the Local Improvement Approach -- Experiments and Results -- Experiment I -- Experiment II -- Experiment III -- Conclusions -- References -- Improving the Performance of Heuristic Algorithms Based on Causal Inference -- Introduction -- Learning Explanations through Causal Inference -- Causal Models -- Learning Causal Models from Data -- Causal Analysis of Parameters in WABP Algorithm -- Weight Annealing Algorithm for the Bin Packing Problem -- Experimental Design -- Learning a Causal Model from the Experimental Data -- Conclusions and Future Work -- References -- Fuzzified Tree Search in Real Domain Games -- Introduction -- Current Situation in Game Tree Search -- The Fuzzy Approach -- The Fuzzified Search Algorithm -- Game Setup -- Experimental Results -- Conclusions and Future Work -- References -- On Generating Templates for Hypothesis in Inductive Logic Programming -- Introduction -- Background -- Incremental Template Generation -- History-Driven Tabu Template Generation -- Stochastic Extension of History-Driven Tabu Template Generation -- Experimental Results -- Conclusions -- References -- Towards Building a Masquerade Detection Method Based on User File System Navigation -- Introduction -- Masquerade Detection -- The SEA Dataset -- Masquerade Detection Mechanisms: An Overview -- Navigation Structures -- Access Graph -- Directory Graph -- Some Preliminary Results. Construction- and Validation-Masquerade Datasets -- Experimentation Results -- Discussion -- Conclusions -- References -- A Fast SVM Training Algorithm Based on a Decision Tree Data Filter -- Introduction -- Preliminaries -- Support Vector Machines -- Decision Trees -- Implementing a Data Filter Algorithm -- Algorithm Description -- SVM Training Based on Data Filter -- Experimental Results and Comparison -- Data Sets -- Classification Accuracy and Training Time -- Conclusions and Future Work -- References -- Optimal Shortening of Covering Arrays -- Introduction -- Problem Definition -- Related Work -- The OSCAR Problem Is NP-Complete -- Algorithms to Solve the OSCAR Problem -- Greedy Algorithm to Solve the OSCAR Problem -- Exact Algorithm to Solve OSCAR Problem -- Experimentation and Results -- Conclusions -- References -- An Exact Approach to Maximize the Number of Wild Cards in a Covering Array -- Introduction -- Background -- Exact Approach for Wild Card Detection -- Symbol Fixing Process -- Exact Algorithm for Wild Card Identification: wcBBCA -- Experimental Results -- Experiment 1: Identification of Wild Cards in a CA Benchmark -- Experiment 2: Wild Card Profile Detection for Larger CAs -- Experiment 3: Diversity in the Wild Card Profiles -- Conclusions -- References -- Intelligent Learning System Based on SCORM Learning Objects -- Introduction -- SCORM Sequencing -- Intelligent Tutoring Systems -- Sequencing and Navigation in ITS -- Using Probabilistic Graphical Models for Adaptive Sequence -- Using Decision Networks in the Sequencing and Navigation of Los -- Intelligent Learning System Based on Learning Objects -- General Architecture of the System -- Domain Knowledge Model -- Tutor Module -- Case Study -- Description of the Evaluation Process -- Results and Discussion -- Model Validation in Electrical Sector -- Conclusions -- References. Natural Language Processing -- A Weighted Profile Intersection Measure for Profile-Based Authorship Attribution -- Introduction -- Related Work -- Proposed Method -- Experimental Evaluation -- Authorship Attribution Data Sets -- CNG-SPI vs CNG-WPI -- CNG-SPI vs Classification-based methods -- Conclusions -- References -- A New General Grammar Formalism for Parsing -- Introduction -- Grammatical Framework -- ConstrainedW-Grammars -- Probabilistic CW-Grammars -- Learning CW-Grammars from Tree-Banks -- Some Further Technical Notions -- Capturing State of the Art Parsers -- Bilexical Grammars -- Markov Rules -- Stochastic Tree Substitution Grammars -- References -- Contextual Semantic Processing for a Spanish Dialogue System Using Markov Logic -- Introduction -- Dialogue Models -- Semantic Processing -- Word Enhanced Spotting -- Markov Logic -- Corpus -- Experiments -- Exploratory and Baseline Experiments -- Context Experiments -- Results -- Conclusions -- References -- A Statistics-Based Semantic Textual Entailment System -- Introduction -- Related Work -- Universal Networking Language -- System Description -- UNL En-Conversion Module -- Pre-processing Module -- Scoring Module -- Decision Module -- Experimental Results -- Error Analysis -- Conclusions -- References -- Semantic Model for Improving the Performance of Natural Language Interfaces to Databases -- Introduction -- Background -- Problems in Queries -- Semantically Enriched Database Modeling -- Grammatical Descriptors -- Entities -- Attributes -- Relationships -- Specialization and Generalization -- SEM Representation -- Case Study -- Final Remarks and Future Work -- References -- Modular Natural Language Processing Using Declarative Attribute Grammars -- Introduction -- General Notation -- Underlying Foundation -- Grammars, Top-Down Parser and Combinators. Declarative and Executable Attribute Grammars. |
| Record Nr. | UNISA-996465683203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in artificial intelligence and applications : proceedings of special session : 2011 10th Mexican International Conference on Artificial Intelligence. MICAI 2011, 26 November -- 4 December 2011, Puebla, Mexico / / edited by Ildar Batyrshin, Grigori Sidorov
| Advances in artificial intelligence and applications : proceedings of special session : 2011 10th Mexican International Conference on Artificial Intelligence. MICAI 2011, 26 November -- 4 December 2011, Puebla, Mexico / / edited by Ildar Batyrshin, Grigori Sidorov |
| Soggetto topico |
Artificial intelligence - Medical applications
Artificial intelligence - Engineering applications Artificial intelligence |
| ISBN | 0-7695-4605-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619136303321 |
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
|
Advances in artificial intelligence and applications : proceedings of special session : 2011 10th Mexican International Conference on Artificial Intelligence. MICAI 2011, 26 November -- 4 December 2011, Puebla, Mexico / / edited by Ildar Batyrshin, Grigori Sidorov
| Advances in artificial intelligence and applications : proceedings of special session : 2011 10th Mexican International Conference on Artificial Intelligence. MICAI 2011, 26 November -- 4 December 2011, Puebla, Mexico / / edited by Ildar Batyrshin, Grigori Sidorov |
| Soggetto topico |
Artificial intelligence - Medical applications
Artificial intelligence - Engineering applications Artificial intelligence |
| ISBN | 0-7695-4605-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996205855303316 |
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
|
Advances in computational intelligence : 15th Mexican international conference on artificial intelligence, MICAI 2016, Cancún, Mexico, October 23-28, 2016, proceedings, part I / / edited by Ildar Batyrshin, Alexander Gelbukh, and Grigori Sidorov
| Advances in computational intelligence : 15th Mexican international conference on artificial intelligence, MICAI 2016, Cancún, Mexico, October 23-28, 2016, proceedings, part I / / edited by Ildar Batyrshin, Alexander Gelbukh, and Grigori Sidorov |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (433 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computers
Artificial intelligence Optical data processing |
| ISBN | 3-030-89817-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Conference Organization -- Contents - Part I -- Contents - Part II -- Machine and Deep Learning -- Identifying Optimal Clusters in Purchase Transaction Data -- 1 Introduction -- 2 Clustering Taxonomies -- 3 Cluster Validity Indices -- 4 Data Complexity Measures -- 5 Data Sets and Experimental Methodology -- 6 Results and Discussions -- 7 Conclusions -- A Appendix -- References -- Artificial Organic Networks Approach Applied to the Index Tracking Problem -- 1 Introduction -- 1.1 Objectives and Limitations -- 2 The Proposed Approach -- 2.1 AON Properties -- 2.2 Artificial Hydrocarbon Networks Algorithm -- 3 Implementation Considerations -- 3.1 System Identification -- 3.2 Target Function Mathematical Formulation -- 3.3 Financial Analysis and Strategy -- 4 Preliminary Results -- 4.1 Experiment 1: Establishing a Regression -- 4.2 Experiment 2: Comparing MNLR Performance Vs. Other ML Techniques. -- 4.3 Experiment Three: Buy-and-Hold Strategy -- 4.4 Experiment 4: A Hybrid K-Means with AHN Algorithm -- 5 Conclusions and Future Work -- References -- Supervised Learning Approach for Section Title Detection in PDF Scientific Articles -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset Creation -- 3.2 Classifiers Training and Testing -- 4 Results -- 5 Conclusion -- References -- Real-Time Mexican Sign Language Interpretation Using CNN and HMM -- 1 Introduction -- 2 Related Work -- 2.1 Methods -- 2.2 Techniques -- 2.3 Works About MSL in Mexico -- 3 Proposal -- 4 Dataset -- 4.1 Description -- 4.2 Participants -- 4.3 Data Acquisition -- 4.4 Dataset Standardization -- 5 Experiments and Results -- 5.1 Training -- 5.2 Results Experiment 1: Focus on Isolated Words -- 5.3 Results Experiment 2: Focus on Sentences -- 6 Conclusions -- References -- RiskIPN: Pavement Risk Database for Segmentation with Deep Learning.
1 Introduction -- 2 Databases -- 2.1 Previous Datasets -- 2.2 RisksIPN -- 3 Segmentation Deep Model -- 4 Experiments and Results -- 4.1 Preprocessing -- 4.2 Training -- 5 Conclusion -- References -- A Comparative Study on Approaches to Acoustic Scene Classification Using CNNs -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Organization and Collection -- 3.2 Data Augmentation -- 3.3 Feature Representations -- 3.4 Development of CNNs -- 4 Results and Evaluation -- 5 Conclusion -- References -- Measuring the Effect of Categorical Encoders in Machine Learning Tasks Using Synthetic Data -- 1 Introduction -- 2 General Methodology -- 2.1 Real-World Datasets -- 2.2 Synthetic Datasets -- 3 Experimental Results -- 3.1 Real-World Dataset -- 3.2 Synthetic-Datasets -- 4 Conclusions -- Appendix -- References -- Long-Term Exploration in Persistent MDPs -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Markov Decision Processes -- 3.2 Persistent MDPs -- 4 Exploration via State Space Clustering -- 4.1 Similarity Model -- 4.2 Graph of Clusters -- 5 The Prince of Persia Domain -- 6 Experiments -- 6.1 Experimental Setup -- 6.2 Exploring the Prince of Persia Environment -- 6.3 Ablation Study -- 7 Conclusion -- References -- Source Task Selection in Time Series via Performance Prediction -- 1 Introduction -- 2 Transfer Learning -- 3 Related Work -- 4 Performance Prediction for Source Task Selection -- 4.1 Feature Extraction -- 4.2 Regression Model -- 5 Experimental Results -- 6 Conclusions and Future Work -- References -- Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction -- 1 Introduction -- 2 Materials and Methods -- 2.1 Meta-learning Tasks -- 2.2 MiniImageNet Dataset -- 3 Proposed Model -- 3.1 Feature Reduction Techniques -- 3.2 Inter and Intra Class Nearest Neighbors Score (ICNN Score) -- 4 Experiments. 4.1 Implementation Details -- 4.2 Model Design Choices -- 4.3 Comparison with Baselines -- 5 Conclusion -- References -- Seasonality Atlas of Solar Radiation in Mexico -- 1 Introduction -- 1.1 Related Work -- 2 Mexico's Solar Radiation -- 3 Methodology -- 3.1 Designing the Atlas -- 3.2 Cluster Analysis -- 3.3 Algorithms -- 3.4 Validation of the Results -- 4 Results -- 4.1 1-Dimensional Cluster Analysis -- 4.2 2-Dimensional Cluster Analysis -- 5 Discussion -- 6 Conclusions -- References -- Best Paper Award, Third Place -- Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones -- 1 Introduction -- 2 State of the Art -- 2.1 Deep Learning Architectures -- 2.2 Traditional Computer Vision Methods -- 3 Proposed Approach -- 4 Data Set -- 4.1 Image Processing -- 5 Metrics and Loss Functions -- 5.1 Metrics -- 5.2 Loss Functions -- 6 Training -- 7 Testing -- 8 Results and Discussion -- 8.1 Selected Metrics -- 8.2 Best Loss Function -- 8.3 Traditional and Deep Learning Segmentation -- 8.4 Discussion -- 9 Conclusions -- References -- A Machine Learning Approach for Modeling Safety Stock Optimization Equation in the Cosmetics and Beauty Industry -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Machine Learning Workflow -- 5 Results and Discussion -- 6 Conclusions -- References -- DBSCAN Parameter Selection Based on K-NN -- 1 Introduction -- 2 Related Work -- 3 DBSCAN Parameter Selection Based on K-Distance -- 4 Experiments -- 4.1 Parameter Selection DBSCAN -- 4.2 ACND -- 4.3 Clustering -- 4.4 Border Definition -- 5 Conclusion -- References -- Deep Learning Architectures Applied to Mosquito Count Regressions in US Datasets -- 1 Introduction -- 2 Methods -- 2.1 Multi-Layer Perceptron (MLP) -- 2.2 Approach 2 (MLP + Weather Data) -- 2.3 Approach 3: CNN -- 2.4 Approach 4: Hybrid Model (CNN + MLP) -- 2.5 Approach 5: Sentinel CNN + MLP. 2.6 Approach 6: VAE + MLP -- 2.7 Approach 7: Recurrent Neural Network (LSTM) -- 3 Analysis and Conclusions -- References -- Causal Based Action Selection Policy for Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Assumptions and Limitations -- 3.2 Action Selection -- 4 Experimental Set Up -- 4.1 Environment -- 4.2 Implementation and Compared Approaches -- 4.3 Evaluation Metric and Exploration Rate Decay -- 5 Results -- 5.1 Modifying the Causal Graph -- 5.2 Exploit or Keep Exploring -- 5.3 Using Visual Observations of the Environment -- 6 Conclusions -- References -- Performance Evaluation of Artificial Neural Networks Applied in the Classification of Emotions -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data Acquisition -- 3.2 Preprocessing -- 3.3 Artificial Neural Networks -- 3.4 Experimental Settings -- 4 Results and Discussion -- 5 Conclusion and Future Directions -- References -- Machine Learning Algorithms Based on the Classification of Motor Imagination Signals Acquired with an Electroencephalogram -- 1 Introduction -- 2 Background -- 2.1 CNN -- 2.2 LSTM -- 2.3 GRU -- 2.4 Bidirectional RNN -- 2.5 DT -- 2.6 Random Forest -- 2.7 MLP -- 2.8 Gaussian Naïve Bayes -- 2.9 SVM -- 2.10 LDA and Logistic Regression -- 2.11 AdaBoost -- 2.12 KNN -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- Image Processing and Pattern Recognition -- Touchless Fingerphoto Extraction Based on Deep Learning and Image Processing Algorithms -- A Preview -- 1 Introduction -- 2 Related Work -- 2.1 Image Acquisition -- 2.2 Background Removal -- 2.3 Fingerprint Enhancement -- 3 Methods and Materials -- 3.1 Fingerphoto Acquisition -- 3.2 Background Removal -- 3.3 Fingerphoto Segmentation and Enhancement -- 3.4 Equivalent Touch-Based Image -- 3.5 NIST Fingerprint Image Quality. 4 Experiments and Results -- 4.1 Fingerphoto Dataset -- 4.2 U-Net for Background Removal -- 4.3 Fingerphoto Extraction -- 5 Conclusions and Feature Work -- References -- Real Time Distraction Detection by Facial Attributes Recognition -- 1 Introduction -- 1.1 Previous Work -- 2 Method and Data -- 2.1 Image Acquisition -- 2.2 Face Detection -- 2.3 Facial Attributes Recognition -- 2.4 Classification -- 3 Results -- 3.1 Classic Evaluation -- 3.2 5-Fold Cross Validation Evaluation -- 3.3 Real Time Environment Evaluation -- 4 Discussion -- 4.1 Future Work -- 5 Conclusions -- References -- Urban Perception: Can We Understand Why a Street Is Safe? -- 1 Introduction -- 2 Related Works -- 2.1 Urban Perception -- 2.2 Model Interpretation -- 3 Methodology -- 3.1 Datasets and Data Pre-processing -- 3.2 Visual Components Extraction -- 4 Experiments and Discussions -- 5 Conclusions -- References -- Continual Learning for Multi-camera Relocalisation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Generation -- 3.2 Continual Learning -- 4 Experiments and Results -- 5 Conclusion -- References -- Facing a Pandemic: A COVID-19 Time Series Analysis of Vaccine Impact -- 1 Introduction -- 2 Related Work -- 2.1 COVID-19 World Vaccination Progress with Tableau -- 2.2 COVID-19: Can We Predict the Future? -- 2.3 COVID-19 EDA: Man Vs. Disease -- 2.4 Remarks -- 3 Methodology -- 3.1 Data Understanding -- 3.2 Data Preparation -- 3.3 Modeling -- 4 Results -- 4.1 Model Evaluation -- 4.2 Deployment -- 5 Conclusion -- References -- COVID-19 on the Time, Countries Deaths Monitoring and Comparison Dealing with the Pandemic -- 1 Introduction -- 2 Focus on Deaths Instead of Reported Infections -- 3 Methods -- 3.1 Moving Average -- 3.2 Plateau -- 3.3 Maximum Value -- 3.4 Economics Information Per Country -- 4 Results -- 5 Conclusions and Future Work -- 6 Related Work. References. |
| Record Nr. | UNISA-996464395303316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in computational intelligence : 15th Mexican international conference on artificial intelligence, MICAI 2016, Cancún, Mexico, October 23-28, 2016, proceedings, part I / / edited by Ildar Batyrshin, Alexander Gelbukh, and Grigori Sidorov
| Advances in computational intelligence : 15th Mexican international conference on artificial intelligence, MICAI 2016, Cancún, Mexico, October 23-28, 2016, proceedings, part I / / edited by Ildar Batyrshin, Alexander Gelbukh, and Grigori Sidorov |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (433 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computers
Artificial intelligence Optical data processing |
| ISBN | 3-030-89817-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Conference Organization -- Contents - Part I -- Contents - Part II -- Machine and Deep Learning -- Identifying Optimal Clusters in Purchase Transaction Data -- 1 Introduction -- 2 Clustering Taxonomies -- 3 Cluster Validity Indices -- 4 Data Complexity Measures -- 5 Data Sets and Experimental Methodology -- 6 Results and Discussions -- 7 Conclusions -- A Appendix -- References -- Artificial Organic Networks Approach Applied to the Index Tracking Problem -- 1 Introduction -- 1.1 Objectives and Limitations -- 2 The Proposed Approach -- 2.1 AON Properties -- 2.2 Artificial Hydrocarbon Networks Algorithm -- 3 Implementation Considerations -- 3.1 System Identification -- 3.2 Target Function Mathematical Formulation -- 3.3 Financial Analysis and Strategy -- 4 Preliminary Results -- 4.1 Experiment 1: Establishing a Regression -- 4.2 Experiment 2: Comparing MNLR Performance Vs. Other ML Techniques. -- 4.3 Experiment Three: Buy-and-Hold Strategy -- 4.4 Experiment 4: A Hybrid K-Means with AHN Algorithm -- 5 Conclusions and Future Work -- References -- Supervised Learning Approach for Section Title Detection in PDF Scientific Articles -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset Creation -- 3.2 Classifiers Training and Testing -- 4 Results -- 5 Conclusion -- References -- Real-Time Mexican Sign Language Interpretation Using CNN and HMM -- 1 Introduction -- 2 Related Work -- 2.1 Methods -- 2.2 Techniques -- 2.3 Works About MSL in Mexico -- 3 Proposal -- 4 Dataset -- 4.1 Description -- 4.2 Participants -- 4.3 Data Acquisition -- 4.4 Dataset Standardization -- 5 Experiments and Results -- 5.1 Training -- 5.2 Results Experiment 1: Focus on Isolated Words -- 5.3 Results Experiment 2: Focus on Sentences -- 6 Conclusions -- References -- RiskIPN: Pavement Risk Database for Segmentation with Deep Learning.
1 Introduction -- 2 Databases -- 2.1 Previous Datasets -- 2.2 RisksIPN -- 3 Segmentation Deep Model -- 4 Experiments and Results -- 4.1 Preprocessing -- 4.2 Training -- 5 Conclusion -- References -- A Comparative Study on Approaches to Acoustic Scene Classification Using CNNs -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Organization and Collection -- 3.2 Data Augmentation -- 3.3 Feature Representations -- 3.4 Development of CNNs -- 4 Results and Evaluation -- 5 Conclusion -- References -- Measuring the Effect of Categorical Encoders in Machine Learning Tasks Using Synthetic Data -- 1 Introduction -- 2 General Methodology -- 2.1 Real-World Datasets -- 2.2 Synthetic Datasets -- 3 Experimental Results -- 3.1 Real-World Dataset -- 3.2 Synthetic-Datasets -- 4 Conclusions -- Appendix -- References -- Long-Term Exploration in Persistent MDPs -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Markov Decision Processes -- 3.2 Persistent MDPs -- 4 Exploration via State Space Clustering -- 4.1 Similarity Model -- 4.2 Graph of Clusters -- 5 The Prince of Persia Domain -- 6 Experiments -- 6.1 Experimental Setup -- 6.2 Exploring the Prince of Persia Environment -- 6.3 Ablation Study -- 7 Conclusion -- References -- Source Task Selection in Time Series via Performance Prediction -- 1 Introduction -- 2 Transfer Learning -- 3 Related Work -- 4 Performance Prediction for Source Task Selection -- 4.1 Feature Extraction -- 4.2 Regression Model -- 5 Experimental Results -- 6 Conclusions and Future Work -- References -- Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction -- 1 Introduction -- 2 Materials and Methods -- 2.1 Meta-learning Tasks -- 2.2 MiniImageNet Dataset -- 3 Proposed Model -- 3.1 Feature Reduction Techniques -- 3.2 Inter and Intra Class Nearest Neighbors Score (ICNN Score) -- 4 Experiments. 4.1 Implementation Details -- 4.2 Model Design Choices -- 4.3 Comparison with Baselines -- 5 Conclusion -- References -- Seasonality Atlas of Solar Radiation in Mexico -- 1 Introduction -- 1.1 Related Work -- 2 Mexico's Solar Radiation -- 3 Methodology -- 3.1 Designing the Atlas -- 3.2 Cluster Analysis -- 3.3 Algorithms -- 3.4 Validation of the Results -- 4 Results -- 4.1 1-Dimensional Cluster Analysis -- 4.2 2-Dimensional Cluster Analysis -- 5 Discussion -- 6 Conclusions -- References -- Best Paper Award, Third Place -- Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones -- 1 Introduction -- 2 State of the Art -- 2.1 Deep Learning Architectures -- 2.2 Traditional Computer Vision Methods -- 3 Proposed Approach -- 4 Data Set -- 4.1 Image Processing -- 5 Metrics and Loss Functions -- 5.1 Metrics -- 5.2 Loss Functions -- 6 Training -- 7 Testing -- 8 Results and Discussion -- 8.1 Selected Metrics -- 8.2 Best Loss Function -- 8.3 Traditional and Deep Learning Segmentation -- 8.4 Discussion -- 9 Conclusions -- References -- A Machine Learning Approach for Modeling Safety Stock Optimization Equation in the Cosmetics and Beauty Industry -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Machine Learning Workflow -- 5 Results and Discussion -- 6 Conclusions -- References -- DBSCAN Parameter Selection Based on K-NN -- 1 Introduction -- 2 Related Work -- 3 DBSCAN Parameter Selection Based on K-Distance -- 4 Experiments -- 4.1 Parameter Selection DBSCAN -- 4.2 ACND -- 4.3 Clustering -- 4.4 Border Definition -- 5 Conclusion -- References -- Deep Learning Architectures Applied to Mosquito Count Regressions in US Datasets -- 1 Introduction -- 2 Methods -- 2.1 Multi-Layer Perceptron (MLP) -- 2.2 Approach 2 (MLP + Weather Data) -- 2.3 Approach 3: CNN -- 2.4 Approach 4: Hybrid Model (CNN + MLP) -- 2.5 Approach 5: Sentinel CNN + MLP. 2.6 Approach 6: VAE + MLP -- 2.7 Approach 7: Recurrent Neural Network (LSTM) -- 3 Analysis and Conclusions -- References -- Causal Based Action Selection Policy for Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Assumptions and Limitations -- 3.2 Action Selection -- 4 Experimental Set Up -- 4.1 Environment -- 4.2 Implementation and Compared Approaches -- 4.3 Evaluation Metric and Exploration Rate Decay -- 5 Results -- 5.1 Modifying the Causal Graph -- 5.2 Exploit or Keep Exploring -- 5.3 Using Visual Observations of the Environment -- 6 Conclusions -- References -- Performance Evaluation of Artificial Neural Networks Applied in the Classification of Emotions -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data Acquisition -- 3.2 Preprocessing -- 3.3 Artificial Neural Networks -- 3.4 Experimental Settings -- 4 Results and Discussion -- 5 Conclusion and Future Directions -- References -- Machine Learning Algorithms Based on the Classification of Motor Imagination Signals Acquired with an Electroencephalogram -- 1 Introduction -- 2 Background -- 2.1 CNN -- 2.2 LSTM -- 2.3 GRU -- 2.4 Bidirectional RNN -- 2.5 DT -- 2.6 Random Forest -- 2.7 MLP -- 2.8 Gaussian Naïve Bayes -- 2.9 SVM -- 2.10 LDA and Logistic Regression -- 2.11 AdaBoost -- 2.12 KNN -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- Image Processing and Pattern Recognition -- Touchless Fingerphoto Extraction Based on Deep Learning and Image Processing Algorithms -- A Preview -- 1 Introduction -- 2 Related Work -- 2.1 Image Acquisition -- 2.2 Background Removal -- 2.3 Fingerprint Enhancement -- 3 Methods and Materials -- 3.1 Fingerphoto Acquisition -- 3.2 Background Removal -- 3.3 Fingerphoto Segmentation and Enhancement -- 3.4 Equivalent Touch-Based Image -- 3.5 NIST Fingerprint Image Quality. 4 Experiments and Results -- 4.1 Fingerphoto Dataset -- 4.2 U-Net for Background Removal -- 4.3 Fingerphoto Extraction -- 5 Conclusions and Feature Work -- References -- Real Time Distraction Detection by Facial Attributes Recognition -- 1 Introduction -- 1.1 Previous Work -- 2 Method and Data -- 2.1 Image Acquisition -- 2.2 Face Detection -- 2.3 Facial Attributes Recognition -- 2.4 Classification -- 3 Results -- 3.1 Classic Evaluation -- 3.2 5-Fold Cross Validation Evaluation -- 3.3 Real Time Environment Evaluation -- 4 Discussion -- 4.1 Future Work -- 5 Conclusions -- References -- Urban Perception: Can We Understand Why a Street Is Safe? -- 1 Introduction -- 2 Related Works -- 2.1 Urban Perception -- 2.2 Model Interpretation -- 3 Methodology -- 3.1 Datasets and Data Pre-processing -- 3.2 Visual Components Extraction -- 4 Experiments and Discussions -- 5 Conclusions -- References -- Continual Learning for Multi-camera Relocalisation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Generation -- 3.2 Continual Learning -- 4 Experiments and Results -- 5 Conclusion -- References -- Facing a Pandemic: A COVID-19 Time Series Analysis of Vaccine Impact -- 1 Introduction -- 2 Related Work -- 2.1 COVID-19 World Vaccination Progress with Tableau -- 2.2 COVID-19: Can We Predict the Future? -- 2.3 COVID-19 EDA: Man Vs. Disease -- 2.4 Remarks -- 3 Methodology -- 3.1 Data Understanding -- 3.2 Data Preparation -- 3.3 Modeling -- 4 Results -- 4.1 Model Evaluation -- 4.2 Deployment -- 5 Conclusion -- References -- COVID-19 on the Time, Countries Deaths Monitoring and Comparison Dealing with the Pandemic -- 1 Introduction -- 2 Focus on Deaths Instead of Reported Infections -- 3 Methods -- 3.1 Moving Average -- 3.2 Plateau -- 3.3 Maximum Value -- 3.4 Economics Information Per Country -- 4 Results -- 5 Conclusions and Future Work -- 6 Related Work. References. |
| Record Nr. | UNINA-9910506398403321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Computational Intelligence [[electronic resource] ] : 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22–27, 2018, Proceedings, Part II / / edited by Ildar Batyrshin, María de Lourdes Martínez-Villaseñor, Hiram Eredín Ponce Espinosa
| Advances in Computational Intelligence [[electronic resource] ] : 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22–27, 2018, Proceedings, Part II / / edited by Ildar Batyrshin, María de Lourdes Martínez-Villaseñor, Hiram Eredín Ponce Espinosa |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXIV, 371 p. 133 illus., 67 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Special purpose computers Optical data processing Artificial Intelligence Data Mining and Knowledge Discovery Special Purpose and Application-Based Systems Image Processing and Computer Vision |
| ISBN | 3-030-04497-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge Representation, Reasoning, and Optimization -- Coding 3D connected regions with F26 chain code -- Finding optimal farming practices to increase crop yield through Global-best Harmony Search and predictive models, a data-driven approach -- On the Modelling of the Energy System of a Country for Decision Making Using Bayesian Artificial Intelligence { A case study for Mexico -- Natural Language Processing -- Enhancement of performance of document clustering in the authorship identification problem with a weighted cosine similarity -- Exploring the Context of Lexical Functions -- Towards a Natural Language Compiler -- Comparative analysis and implementation of semantic-based classifiers -- Best Paper award, second place: Topic-Focus Articulation: A Third Pillar of Automatic Evaluation of Text Coherence -- A Multilingual Study of Compressive Cross-Language Text Summarization -- WiSeBE: Window-based Sentence Boundary Evaluation -- Readability Formula for Russian Texts: a Modified Version -- Timed automaton RVT-grammar for workflow translating -- Extraction of Typical Client Requests from Bank Chat Logs -- A Knowledge-based Methodology for Building a Conversational Chatbot as an Intelligent Tutor -- Top-k Context-Aware Tour Recommendations for Groups -- A Knowledge-based Weighted kKNN for Detecting Irony in Twitter -- Model for Personality Detection based on Text Analysis -- Analysis of Emotions through Speech Using the Combination of Multiple Input Sources with Deep Convolutional and LSTM Networks -- Robustness of LSTM Neural Networks for the Enhancement of Spectral Parameters in Noisy Speech Signals -- Tensor Decomposition for Imagined Speech Discrimination in EEG -- Robotics and Computer Vision -- A new software library for mobile sensing using FIWARE technologies -- Free model task space controller based on adaptive gain for robot manipulator using Jacobian estimation -- Design and Equilibrium Control of a Force-Balanced One-Leg Mechanism -- An Adaptive Robotic Assistance Platform for Neurorehabilitation Therapy of Upper Limb -- ROBMMOR: An experimental robotic manipulator for motor rehabilitation of knee -- A Bio-inspired Cybersecurity Scheme to Protect a Swarm of Robots -- Chaos optimization applied to a beamforming algorithm for source location -- Data Augmentation in Deep Learning-based Obstacle Detection System for Autonomous Navigation on Aquatic Surfaces -- Best Paper award, third place: Combining Deep Learning and RGBD SLAM for Monocular Indoor Autonomous Flight. |
| Record Nr. | UNISA-996466457403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Computational Intelligence : 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22–27, 2018, Proceedings, Part II / / edited by Ildar Batyrshin, María de Lourdes Martínez-Villaseñor, Hiram Eredín Ponce Espinosa
| Advances in Computational Intelligence : 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22–27, 2018, Proceedings, Part II / / edited by Ildar Batyrshin, María de Lourdes Martínez-Villaseñor, Hiram Eredín Ponce Espinosa |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXIV, 371 p. 133 illus., 67 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Special purpose computers Optical data processing Artificial Intelligence Data Mining and Knowledge Discovery Special Purpose and Application-Based Systems Image Processing and Computer Vision |
| ISBN | 3-030-04497-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge Representation, Reasoning, and Optimization -- Coding 3D connected regions with F26 chain code -- Finding optimal farming practices to increase crop yield through Global-best Harmony Search and predictive models, a data-driven approach -- On the Modelling of the Energy System of a Country for Decision Making Using Bayesian Artificial Intelligence { A case study for Mexico -- Natural Language Processing -- Enhancement of performance of document clustering in the authorship identification problem with a weighted cosine similarity -- Exploring the Context of Lexical Functions -- Towards a Natural Language Compiler -- Comparative analysis and implementation of semantic-based classifiers -- Best Paper award, second place: Topic-Focus Articulation: A Third Pillar of Automatic Evaluation of Text Coherence -- A Multilingual Study of Compressive Cross-Language Text Summarization -- WiSeBE: Window-based Sentence Boundary Evaluation -- Readability Formula for Russian Texts: a Modified Version -- Timed automaton RVT-grammar for workflow translating -- Extraction of Typical Client Requests from Bank Chat Logs -- A Knowledge-based Methodology for Building a Conversational Chatbot as an Intelligent Tutor -- Top-k Context-Aware Tour Recommendations for Groups -- A Knowledge-based Weighted kKNN for Detecting Irony in Twitter -- Model for Personality Detection based on Text Analysis -- Analysis of Emotions through Speech Using the Combination of Multiple Input Sources with Deep Convolutional and LSTM Networks -- Robustness of LSTM Neural Networks for the Enhancement of Spectral Parameters in Noisy Speech Signals -- Tensor Decomposition for Imagined Speech Discrimination in EEG -- Robotics and Computer Vision -- A new software library for mobile sensing using FIWARE technologies -- Free model task space controller based on adaptive gain for robot manipulator using Jacobian estimation -- Design and Equilibrium Control of a Force-Balanced One-Leg Mechanism -- An Adaptive Robotic Assistance Platform for Neurorehabilitation Therapy of Upper Limb -- ROBMMOR: An experimental robotic manipulator for motor rehabilitation of knee -- A Bio-inspired Cybersecurity Scheme to Protect a Swarm of Robots -- Chaos optimization applied to a beamforming algorithm for source location -- Data Augmentation in Deep Learning-based Obstacle Detection System for Autonomous Navigation on Aquatic Surfaces -- Best Paper award, third place: Combining Deep Learning and RGBD SLAM for Monocular Indoor Autonomous Flight. |
| Record Nr. | UNINA-9910349385203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Computational Intelligence [[electronic resource] ] : 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, San Luis Potosi, Mexico, October 27 - November 4, 2012. Revised Selected Papers, Part II / / edited by Ildar Batyrshin, Miguel González Mendoza
| Advances in Computational Intelligence [[electronic resource] ] : 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, San Luis Potosi, Mexico, October 27 - November 4, 2012. Revised Selected Papers, Part II / / edited by Ildar Batyrshin, Miguel González Mendoza |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXVI, 469 p. 208 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Health informatics Application software Information storage and retrieval Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Health Informatics Information Systems Applications (incl. Internet) Information Storage and Retrieval |
| ISBN | 3-642-37798-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Natural language processing -- Evolutionary and nature-inspired metaheuristic algorithms -- Neural networks and hybrid intelligent systems -- Fuzzy systems and probabilistic models in decision making. |
| Record Nr. | UNISA-996466185103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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