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Adaptive and Natural Computing Algorithms [[electronic resource] ] : 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers / / edited by Ville Kolehmainen, Pekka Toivanen, Bartlomiej Beliczynski
| Adaptive and Natural Computing Algorithms [[electronic resource] ] : 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers / / edited by Ville Kolehmainen, Pekka Toivanen, Bartlomiej Beliczynski |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XVI, 630 p.) |
| Disciplina | 004n/a |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction Life sciences Artificial intelligence Computer science Algorithms Software engineering User Interfaces and Human Computer Interaction Life Sciences Artificial Intelligence Theory of Computation Software Engineering |
| ISBN | 3-642-04921-4 |
| Classificazione |
DAT 708f
DAT 717f DAT 718f SS 4800 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks -- Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Representation -- On Tractability of Neural-Network Approximation -- Handling Incomplete Data Using Evolution of Imputation Methods -- Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping -- Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons -- Some Enhancements to Orthonormal Approximation of 2D Functions -- Shortest Common Superstring Problem with Discrete Neural Networks -- A Methodology for Developing Nonlinear Models by Feedforward Neural Networks -- A Predictive Control Economic Optimiser and Constraint Governor Based on Neural Models -- Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multi-models -- Parallel Implementations of Recurrent Neural Network Learning -- Growing Competitive Network for Tracking Objects in Video Sequences -- Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps -- Network Security Using Growing Hierarchical Self-Organizing Maps -- On Document Classification with Self-Organising Maps -- Evolutionary Computation -- A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard Matrices -- Tuning of Large-Scale Linguistic Equation (LE) Models with Genetic Algorithms -- Elitistic Evolution: An Efficient Heuristic for Global Optimization -- Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps -- Grid-Oriented Scatter Search Algorithm -- Agent-Based Gene Expression Programming for Solving the RCPSP/max Problem -- Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation -- Time-Dependent Performance Comparison of Evolutionary Algorithms -- Multiobjective Genetic Programming for Nonlinear System Identification -- NEAT in HyperNEAT Substituted with Genetic Programming -- Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography -- Estimation of Sensor Network Topology Using Ant Colony Optimization -- Learning -- Scalability of Learning Impact on Complex Parameters in Recurrent Neural Networks -- A Hierarchical Classifier with Growing Neural Gas Clustering -- A Generative Model for Self/Non-self Discrimination in Strings -- On the Efficiency of Swap-Based Clustering -- Sum-of-Squares Based Cluster Validity Index and Significance Analysis -- Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators -- String Distances and Uniformities -- Emergent Future Situation Awareness: A Temporal Probabilistic Reasoning in the Absence of Domain Experts -- Efficient Hold-Out for Subset of Regressors -- Improving Optimistic Exploration in Model-Free Reinforcement Learning -- Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning -- A Cat-Like Robot Real-Time Learning to Run -- Controlling the Experimental Three-Tank System via Support Vector Machines -- Feature-Based Clustering for Electricity Use Time Series Data -- The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex -- Soft Computing -- Fuzzy Inference Systems for Efficient Non-invasive On-Line Two-Phase Flow Regime Identification -- Machine Tuning of Stable Analytical Fuzzy Predictive Controllers -- Crisp Classifiers vs. Fuzzy Classifiers: A Statistical Study -- Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear Models -- Dynamic Classifier Systems and Their Applications to Random Forest Ensembles -- A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs -- Hough and Fuzzy Hough Transform in Music Tunes Recognition Systems -- Bioinformatics -- Multiple Order Gradient Feature for Macro-Invertebrate Identification Using Support Vector Machines -- Bayesian Dimension Reduction Models for Microarray Data -- Gene Selection for Cancer Classification through Ensemble of Methods -- Applications -- Rules versus Hierarchy: An Application of Fuzzy Set Theory to the Assessment of Spatial Grouping Techniques -- A Novel Signal-Based Approach to Anomaly Detection in IDS Systems -- Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data -- Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling -- Gene Trajectory Clustering for Learning the Stock Market Sectors -- Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms -- Approximation Scheduling Algorithms for Solving Multi-objects Movement Synchronization Problem -- Automatic Segmentation of Bone Tissue in X-Ray Hand Images -- Automatic Morphing of Face Images -- A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources -- Visualizing Time Series State Changes with Prototype Based Clustering. |
| Record Nr. | UNISA-996465662903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Adaptive and natural computing algorithms : 9th international conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009 : revised selected papers / / Mikko Kolehmainen, Pekka Toivanen, Bartlomiej Beliczynski (eds.)
| Adaptive and natural computing algorithms : 9th international conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009 : revised selected papers / / Mikko Kolehmainen, Pekka Toivanen, Bartlomiej Beliczynski (eds.) |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2009 |
| Descrizione fisica | 1 online resource (XVI, 630 p.) |
| Disciplina | 004n/a |
| Altri autori (Persone) |
BeliczynskiBartomiej
KolehmainenMikko ToivanenPekka |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Adaptive computing systems
Bioinformatics Computer algorithms Machine learning Neural computers Neural networks (Computer science) |
| ISBN | 3-642-04921-4 |
| Classificazione |
DAT 708f
DAT 717f DAT 718f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks -- Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Representation -- On Tractability of Neural-Network Approximation -- Handling Incomplete Data Using Evolution of Imputation Methods -- Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping -- Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons -- Some Enhancements to Orthonormal Approximation of 2D Functions -- Shortest Common Superstring Problem with Discrete Neural Networks -- A Methodology for Developing Nonlinear Models by Feedforward Neural Networks -- A Predictive Control Economic Optimiser and Constraint Governor Based on Neural Models -- Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multi-models -- Parallel Implementations of Recurrent Neural Network Learning -- Growing Competitive Network for Tracking Objects in Video Sequences -- Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps -- Network Security Using Growing Hierarchical Self-Organizing Maps -- On Document Classification with Self-Organising Maps -- Evolutionary Computation -- A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard Matrices -- Tuning of Large-Scale Linguistic Equation (LE) Models with Genetic Algorithms -- Elitistic Evolution: An Efficient Heuristic for Global Optimization -- Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps -- Grid-Oriented Scatter Search Algorithm -- Agent-Based Gene Expression Programming for Solving the RCPSP/max Problem -- Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation -- Time-Dependent Performance Comparison of Evolutionary Algorithms -- Multiobjective Genetic Programming for Nonlinear System Identification -- NEAT in HyperNEAT Substituted with Genetic Programming -- Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography -- Estimation of Sensor Network Topology Using Ant Colony Optimization -- Learning -- Scalability of Learning Impact on Complex Parameters in Recurrent Neural Networks -- A Hierarchical Classifier with Growing Neural Gas Clustering -- A Generative Model for Self/Non-self Discrimination in Strings -- On the Efficiency of Swap-Based Clustering -- Sum-of-Squares Based Cluster Validity Index and Significance Analysis -- Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators -- String Distances and Uniformities -- Emergent Future Situation Awareness: A Temporal Probabilistic Reasoning in the Absence of Domain Experts -- Efficient Hold-Out for Subset of Regressors -- Improving Optimistic Exploration in Model-Free Reinforcement Learning -- Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning -- A Cat-Like Robot Real-Time Learning to Run -- Controlling the Experimental Three-Tank System via Support Vector Machines -- Feature-Based Clustering for Electricity Use Time Series Data -- The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex -- Soft Computing -- Fuzzy Inference Systems for Efficient Non-invasive On-Line Two-Phase Flow Regime Identification -- Machine Tuning of Stable Analytical Fuzzy Predictive Controllers -- Crisp Classifiers vs. Fuzzy Classifiers: A Statistical Study -- Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear Models -- Dynamic Classifier Systems and Their Applications to Random Forest Ensembles -- A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs -- Hough and Fuzzy Hough Transform in Music Tunes Recognition Systems -- Bioinformatics -- Multiple Order Gradient Feature for Macro-Invertebrate Identification Using Support Vector Machines -- Bayesian Dimension Reduction Models for Microarray Data -- Gene Selection for Cancer Classification through Ensemble of Methods -- Applications -- Rules versus Hierarchy: An Application of Fuzzy Set Theory to the Assessment of Spatial Grouping Techniques -- A Novel Signal-Based Approach to Anomaly Detection in IDS Systems -- Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data -- Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling -- Gene Trajectory Clustering for Learning the Stock Market Sectors -- Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms -- Approximation Scheduling Algorithms for Solving Multi-objects Movement Synchronization Problem -- Automatic Segmentation of Bone Tissue in X-Ray Hand Images -- Automatic Morphing of Face Images -- A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources -- Visualizing Time Series State Changes with Prototype Based Clustering. |
| Altri titoli varianti | ICANNGA 2009 |
| Record Nr. | UNINA-9910485044703321 |
| Berlin ; ; New York, : Springer, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in data mining : applications and theoretical aspects ; 9th industrial conference, ICDM 2009, Leipzig, Germany, July 20-22, 2009 : proceedings / / Petra Perner
| Advances in data mining : applications and theoretical aspects ; 9th industrial conference, ICDM 2009, Leipzig, Germany, July 20-22, 2009 : proceedings / / Petra Perner |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer, , [2009] |
| Descrizione fisica | 1 online resource (411 p.) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico | Data mining |
| ISBN |
1-282-36189-9
9786612361890 3-642-03067-X |
| Classificazione |
DAT 616f
DAT 703f DAT 708f DAT 825f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talk -- Distances in Classification -- Data Mining in Medicine and Agriculture -- Electronic Nose Ovarian Carcinoma Diagnosis Based on Machine Learning Algorithms -- Data Mining of Agricultural Yield Data: A Comparison of Regression Models -- Study of Principal Components on Classification of Problematic Wine Fermentations -- A Data Mining Method for Finding Hidden Relationship in Blood and Urine Examination Items for Health Check -- Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation -- Computer-Aided Diagnosis in Brain Computed Tomography Screening -- Knowledge Representation in Difficult Medical Diagnosis -- Data Mining in Marketing, Finance and Telecommunication -- Forecasting Product Life Cycle Phase Transition Points with Modular Neural Networks Based System -- Visualizing the Competitive Structure of Online Auctions -- Credit Risk Handling in Telecommunication Sector -- Sales Intelligence Using Web Mining -- A Sales Forecast Model for the German Automobile Market Based on Time Series Analysis and Data Mining Methods -- Data Mining in Process Control, Industry and Society -- Screening Paper Runnability in a Web-Offset Pressroom by Data Mining -- Evaluation of Distraction in a Driver-Vehicle-Environment Framework: An Application of Different Data-Mining Techniques -- SO_MAD: SensOr Mining for Anomaly Detection in Railway Data -- Online Mass Flow Prediction in CFB Boilers -- Integrating Data Mining and Agent Based Modeling and Simulation -- Combining Multidimensional Scaling and Computational Intelligence for Industrial Monitoring -- A Case of Using Formal Concept Analysis in Combination with Emergent Self Organizing Maps for Detecting Domestic Violence -- Data Mining on Multimedia Data -- Ordinal Evaluation: A New Perspective on Country Images -- Evaluation of Fusion for Similarity Searching in Online Handwritten Documents -- Self-training Strategies for Handwriting Word Recognition -- On a New Similarity Analysis in Frequency Domain for Mining Faces within a Complex Background -- Theoretical Aspects of Data Mining -- Clustering with Domain Value Dissimilarity for Categorical Data -- The Normalized Compression Distance as a Distance Measure in Entity Identification -- Attribute Constrained Rules for Partially Labeled Sequence Completion -- Mining Determining Sets for Partially Defined Functions -- On the Integration of Neural Classifiers through Similarity Analysis of Higher Order Features -- On Cellular Network Channels Data Mining and Decision Making through Ant Colony Optimization and Multi Agent Systems Strategies -- Responsible Data Releases. |
| Record Nr. | UNINA-9910483477103321 |
| Berlin, Germany ; ; New York, New York : , : Springer, , [2009] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in data mining : applications and theoretical aspects ; 9th industrial conference, ICDM 2009, Leipzig, Germany, July 20-22, 2009 : proceedings / / Petra Perner
| Advances in data mining : applications and theoretical aspects ; 9th industrial conference, ICDM 2009, Leipzig, Germany, July 20-22, 2009 : proceedings / / Petra Perner |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer, , [2009] |
| Descrizione fisica | 1 online resource (411 p.) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico | Data mining |
| ISBN |
1-282-36189-9
9786612361890 3-642-03067-X |
| Classificazione |
DAT 616f
DAT 703f DAT 708f DAT 825f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talk -- Distances in Classification -- Data Mining in Medicine and Agriculture -- Electronic Nose Ovarian Carcinoma Diagnosis Based on Machine Learning Algorithms -- Data Mining of Agricultural Yield Data: A Comparison of Regression Models -- Study of Principal Components on Classification of Problematic Wine Fermentations -- A Data Mining Method for Finding Hidden Relationship in Blood and Urine Examination Items for Health Check -- Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation -- Computer-Aided Diagnosis in Brain Computed Tomography Screening -- Knowledge Representation in Difficult Medical Diagnosis -- Data Mining in Marketing, Finance and Telecommunication -- Forecasting Product Life Cycle Phase Transition Points with Modular Neural Networks Based System -- Visualizing the Competitive Structure of Online Auctions -- Credit Risk Handling in Telecommunication Sector -- Sales Intelligence Using Web Mining -- A Sales Forecast Model for the German Automobile Market Based on Time Series Analysis and Data Mining Methods -- Data Mining in Process Control, Industry and Society -- Screening Paper Runnability in a Web-Offset Pressroom by Data Mining -- Evaluation of Distraction in a Driver-Vehicle-Environment Framework: An Application of Different Data-Mining Techniques -- SO_MAD: SensOr Mining for Anomaly Detection in Railway Data -- Online Mass Flow Prediction in CFB Boilers -- Integrating Data Mining and Agent Based Modeling and Simulation -- Combining Multidimensional Scaling and Computational Intelligence for Industrial Monitoring -- A Case of Using Formal Concept Analysis in Combination with Emergent Self Organizing Maps for Detecting Domestic Violence -- Data Mining on Multimedia Data -- Ordinal Evaluation: A New Perspective on Country Images -- Evaluation of Fusion for Similarity Searching in Online Handwritten Documents -- Self-training Strategies for Handwriting Word Recognition -- On a New Similarity Analysis in Frequency Domain for Mining Faces within a Complex Background -- Theoretical Aspects of Data Mining -- Clustering with Domain Value Dissimilarity for Categorical Data -- The Normalized Compression Distance as a Distance Measure in Entity Identification -- Attribute Constrained Rules for Partially Labeled Sequence Completion -- Mining Determining Sets for Partially Defined Functions -- On the Integration of Neural Classifiers through Similarity Analysis of Higher Order Features -- On Cellular Network Channels Data Mining and Decision Making through Ant Colony Optimization and Multi Agent Systems Strategies -- Responsible Data Releases. |
| Record Nr. | UNISA-996465850603316 |
| Berlin, Germany ; ; New York, New York : , : Springer, , [2009] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances on Data Mining: Applications and Theoretical Aspects [[electronic resource] ] : 11th Industrial Conference, ICDM 2011, New York, NY, USA, August 30 – September 3, 2011, Proceedings / / edited by Petra PErner
| Advances on Data Mining: Applications and Theoretical Aspects [[electronic resource] ] : 11th Industrial Conference, ICDM 2011, New York, NY, USA, August 30 – September 3, 2011, Proceedings / / edited by Petra PErner |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (XI, 329 p.) |
| Disciplina | 006.3/12 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Multimedia information systems Optical data processing Application software Database management Artificial intelligence Data Mining and Knowledge Discovery Multimedia Information Systems Image Processing and Computer Vision Information Systems Applications (incl. Internet) Database Management Artificial Intelligence |
| Soggetto genere / forma |
Kongress2011.New York (NY)
Conference proceedings. |
| Soggetto non controllato | ICDM |
| ISBN | 3-642-23184-5 |
| Classificazione |
DAT 703f
DAT 708f DAT 825f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Improvements over adaptive local hyperplane to achieve better classification / Hongmin Cai -- Prognostic models based on linear separability / Leon Bobrowski -- One class classification for anomaly detection : support vector data description revisited / Eric J. Pauwels and Onkar Ambekar -- How to interpret decision trees? / Petra Perner -- Comparing classifiers and metaclassifiers / Elio Lozano and Edgar Acuña -- Fast data acquisition in cost-sensitive learning / Victor S. Sheng -- Applications of a unified medical data miner (UMDM) for prediction, classification, interpretation and visualization on medical datasets : the diabetes dataset case / Nawaz Mohamudally and Dost Muhammad Khan -- Melanoma diagnosis and classification web center system : the non-invasive diagnosis support subsystem / Wiesław Paja and Mariusz Wrzesień -- Characterizing cell types through differentially expressed gene clusters using a model-based approach / Juliane Perner and Elena Zotenko -- Experiments with hybridization and optimization of the rules knowledge base for classification of MMPI profiles / Jerzy Gomuła ... (et al.) -- Unsupervised classification of hyperspectral images on spherical manifolds / Dalton Lunga and Okan Ersoy -- Recognition of porosity in wood microscopic anatomical images / Shen Pan and Mineichi Kudo -- Exploratory hierarchical clustering for management zone delineation in precision agriculture / Georg Russ and Rudolf Kruse -- High classification rates for continuous cow activity recognition using low-cast GPS positioning sensors and standard machine learning techniques / Torben Godsk and Mikkel Baun Kjaergaard -- Mining pixel evolutions in satellite image time series for agricultural monitoring / Andreea Julea ... (et al.) -- Robust, non-redundant feature selection for yield analysis in semiconductor manufacturing / Eric St. Pierre and Eugen Tuv -- Integrated use of ICA and ANN to recognize the mixture control chart patterns in a process / Yuehjen E. Shao, Yini Lin, and Ya-Chi Chan -- Optimized fuzzy decision tree data mining for engineering applications / Liam Evans and Niels Lohse -- Graph-based data warehousing using the core-facets model / Dung N. Lam, Alexander Y. Liu, and Cheryl E. Martin -- General sales forecast models for automobile markets based on time series analysis and data mining techniques / Marco Hülsmann ... (et al.) -- Towards a spatial instance learning method for deep web pages / Ermelinda Oro and Massimo Ruffolo -- Applying user signatures on fraud detection in telecommunications networks / João Lopes, Orlando Belo, and Carlos Vieira -- Methods in case-based classification in bioinformatics : lessons learned / Isabelle Bichindaritz -- Prediction of batch-end quality for an industrial polymerization process / Geert Gins ... (et al.). |
| Record Nr. | UNISA-996465567803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Algorithmic Learning Theory [[electronic resource] ] : 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings / / edited by Ricard Gavaldà, Gabor Lugosi, Thomas Zeugmann, Sandra Zilles
| Algorithmic Learning Theory [[electronic resource] ] : 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings / / edited by Ricard Gavaldà, Gabor Lugosi, Thomas Zeugmann, Sandra Zilles |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XI, 399 p.) |
| Disciplina | 006.3/1 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer programming Data mining Natural language processing (Computer science) Pattern recognition Information storage and retrieval Artificial Intelligence Programming Techniques Data Mining and Knowledge Discovery Natural Language Processing (NLP) Pattern Recognition Information Storage and Retrieval |
| Soggetto genere / forma |
Kongress.
Porto (Portugal, 2009) |
| ISBN | 3-642-04414-X |
| Classificazione |
DAT 708f
SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- The Two Faces of Active Learning -- Inference and Learning in Planning -- Mining Heterogeneous Information Networks by Exploring the Power of Links -- Learning and Domain Adaptation -- Learning on the Web -- Regular Contributions -- Prediction with Expert Evaluators’ Advice -- Pure Exploration in Multi-armed Bandits Problems -- The Follow Perturbed Leader Algorithm Protected from Unbounded One-Step Losses -- Computable Bayesian Compression for Uniformly Discretizable Statistical Models -- Calibration and Internal No-Regret with Random Signals -- St. Petersburg Portfolio Games -- Reconstructing Weighted Graphs with Minimal Query Complexity -- Learning Unknown Graphs -- Completing Networks Using Observed Data -- Average-Case Active Learning with Costs -- Canonical Horn Representations and Query Learning -- Learning Finite Automata Using Label Queries -- Characterizing Statistical Query Learning: Simplified Notions and Proofs -- An Algebraic Perspective on Boolean Function Learning -- Adaptive Estimation of the Optimal ROC Curve and a Bipartite Ranking Algorithm -- Complexity versus Agreement for Many Views -- Error-Correcting Tournaments -- Difficulties in Forcing Fairness of Polynomial Time Inductive Inference -- Learning Mildly Context-Sensitive Languages with Multidimensional Substitutability from Positive Data -- Uncountable Automatic Classes and Learning -- Iterative Learning from Texts and Counterexamples Using Additional Information -- Incremental Learning with Ordinal Bounded Example Memory -- Learning from Streams -- Smart PAC-Learners -- Approximation Algorithms for Tensor Clustering -- Agnostic Clustering. |
| Record Nr. | UNISA-996465309803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Algorithmic learning theory : 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009 ; proceedings / / Ricard Gavalda, Gabor Lugosi, Thomas Zeugmann (eds.)
| Algorithmic learning theory : 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009 ; proceedings / / Ricard Gavalda, Gabor Lugosi, Thomas Zeugmann (eds.) |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | New York, : Springer, 2009 |
| Descrizione fisica | 1 online resource (XI, 399 p.) |
| Disciplina | 006.3/1 |
| Altri autori (Persone) |
GavaldaRicard
LugosiGabor ZeugmannThomas |
| Collana | Lecture notes in computer science. Lecture notes in artificial intelligence |
| Soggetto topico |
Computer algorithms
Machine learning |
| ISBN | 3-642-04414-X |
| Classificazione |
DAT 708f
SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- The Two Faces of Active Learning -- Inference and Learning in Planning -- Mining Heterogeneous Information Networks by Exploring the Power of Links -- Learning and Domain Adaptation -- Learning on the Web -- Regular Contributions -- Prediction with Expert Evaluators’ Advice -- Pure Exploration in Multi-armed Bandits Problems -- The Follow Perturbed Leader Algorithm Protected from Unbounded One-Step Losses -- Computable Bayesian Compression for Uniformly Discretizable Statistical Models -- Calibration and Internal No-Regret with Random Signals -- St. Petersburg Portfolio Games -- Reconstructing Weighted Graphs with Minimal Query Complexity -- Learning Unknown Graphs -- Completing Networks Using Observed Data -- Average-Case Active Learning with Costs -- Canonical Horn Representations and Query Learning -- Learning Finite Automata Using Label Queries -- Characterizing Statistical Query Learning: Simplified Notions and Proofs -- An Algebraic Perspective on Boolean Function Learning -- Adaptive Estimation of the Optimal ROC Curve and a Bipartite Ranking Algorithm -- Complexity versus Agreement for Many Views -- Error-Correcting Tournaments -- Difficulties in Forcing Fairness of Polynomial Time Inductive Inference -- Learning Mildly Context-Sensitive Languages with Multidimensional Substitutability from Positive Data -- Uncountable Automatic Classes and Learning -- Iterative Learning from Texts and Counterexamples Using Additional Information -- Incremental Learning with Ordinal Bounded Example Memory -- Learning from Streams -- Smart PAC-Learners -- Approximation Algorithms for Tensor Clustering -- Agnostic Clustering. |
| Record Nr. | UNINA-9910483550403321 |
| New York, : Springer, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics [[electronic resource] ] : 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010, Proceedings / / edited by Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini
| Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics [[electronic resource] ] : 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010, Proceedings / / edited by Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XII, 249 p. 63 illus.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Bioinformatics
Algorithms Database management Artificial intelligence Computer science Artificial intelligence—Data processing Computational and Systems Biology Database Management Artificial Intelligence Theory of Computation Data Science |
| ISBN |
1-280-38605-3
9786613563972 3-642-12211-6 |
| Classificazione |
BIO 110f
DAT 708f MAT 919f SS 4800 WC 7700 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Variable Genetic Operator Search for the Molecular Docking Problem -- Variable Genetic Operator Search for the Molecular Docking Problem -- Role of Centrality in Network-Based Prioritization of Disease Genes -- Parallel Multi-Objective Approaches for Inferring Phylogenies -- An Evolutionary Model Based on Hill-Climbing Search Operators for Protein Structure Prediction -- Finding Gapped Motifs by a Novel Evolutionary Algorithm -- Top-Down Induction of Phylogenetic Trees -- A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships -- Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci -- Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions -- Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques -- Correlation–Based Scatter Search for Discovering Biclusters from Gene Expression Data -- A Local Search Appproach for Transmembrane Segment and Signal Peptide Discrimination -- A Replica Exchange Monte Carlo Algorithm for the Optimization of Secondary Structure Packing in Proteins -- Improving Multi-Relief for Detecting Specificity Residues from Multiple Sequence Alignments -- Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models -- Posters -- The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics -- Artificial Immune Systems for Epistasis Analysis in Human Genetics -- Metaheuristics for Strain Optimization Using Transcriptional Information Enriched Metabolic Models -- Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Study -- Towards Automatic Detecting of Overlapping Genes - Clustered BLAST Analysis of Viral Genomes -- Investigating Populational Evolutionary Algorithms to Add Vertical Meaning in Phylogenetic Trees. |
| Record Nr. | UNISA-996465893203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Evolutionary computation, machine learning and data mining in bioinformatics : 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010 : proceedings / / Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini (eds.)
| Evolutionary computation, machine learning and data mining in bioinformatics : 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010 : proceedings / / Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini (eds.) |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | New York, : Springer, 2010 |
| Descrizione fisica | 1 online resource (XII, 249 p. 63 illus.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PizzutiClara
RitchieMarylyn DeRiggi GiacobiniMario |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 1, Theoretical computer science and general issues |
| Soggetto topico |
Bioinformatics
Artificial intelligence - Biological applications Computational biology Evolutionary computation Data mining |
| ISBN |
1-280-38605-3
9786613563972 3-642-12211-6 |
| Classificazione |
BIO 110f
DAT 708f MAT 919f SS 4800 WC 7700 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Variable Genetic Operator Search for the Molecular Docking Problem -- Variable Genetic Operator Search for the Molecular Docking Problem -- Role of Centrality in Network-Based Prioritization of Disease Genes -- Parallel Multi-Objective Approaches for Inferring Phylogenies -- An Evolutionary Model Based on Hill-Climbing Search Operators for Protein Structure Prediction -- Finding Gapped Motifs by a Novel Evolutionary Algorithm -- Top-Down Induction of Phylogenetic Trees -- A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships -- Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci -- Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions -- Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques -- Correlation–Based Scatter Search for Discovering Biclusters from Gene Expression Data -- A Local Search Appproach for Transmembrane Segment and Signal Peptide Discrimination -- A Replica Exchange Monte Carlo Algorithm for the Optimization of Secondary Structure Packing in Proteins -- Improving Multi-Relief for Detecting Specificity Residues from Multiple Sequence Alignments -- Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models -- Posters -- The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics -- Artificial Immune Systems for Epistasis Analysis in Human Genetics -- Metaheuristics for Strain Optimization Using Transcriptional Information Enriched Metabolic Models -- Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Study -- Towards Automatic Detecting of Overlapping Genes - Clustered BLAST Analysis of Viral Genomes -- Investigating Populational Evolutionary Algorithms to Add Vertical Meaning in Phylogenetic Trees. |
| Altri titoli varianti | EvoBIO 2010 |
| Record Nr. | UNINA-9910768441203321 |
| New York, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Independent Component Analysis and Signal Separation [[electronic resource] ] : 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009, Proceedings / / edited by Tulay Adali, Christian Jutten, Joao Marcos Travassos Romano, Allan Kardec Barros
| Independent Component Analysis and Signal Separation [[electronic resource] ] : 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009, Proceedings / / edited by Tulay Adali, Christian Jutten, Joao Marcos Travassos Romano, Allan Kardec Barros |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XIX, 785 p.) |
| Disciplina | 621.382/2 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer programming
Data mining Computer software Algorithms Computer science Coding theory Information theory Programming Techniques Data Mining and Knowledge Discovery Mathematical Software Theory of Computation Coding and Information Theory |
| ISBN | 3-642-00599-3 |
| Classificazione |
DAT 708f
DAT 717f ELT 515f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory -- Algorithms and Architectures -- Biomedical Applications -- Image Processing -- Speech and Audio Processing -- Other Applications -- Special Session on Evaluation. |
| Record Nr. | UNISA-996465940803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
