Machine Learning: ECML 2002 [electronic resource] : 13th European Conference on Machine Learning Helsinki, Finland, August 19–23, 2002 Proceedings /

Machine Learning: ECML 2002 [electronic resource] : 13th European Conference on Machine Learning Helsinki, Finland, August 19–23, 2002 Proceedings /

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This book constitutes the refereed preceedings of the 13th European Conference on Machine Learning, ECML 2002, held in Helsinki, Finland in August 2002. The 41 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are computational discovery, search strategies, Classification, support vector machines, kernel methods, rule induction, linear learning, decision tree learning, boosting, collaborative learning, statistical learning, clustering, instance-based learning, reinforcement learning, multiagent learning, multirelational learning, Markov decision processes, active learning, etc.

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Bibliographic Details
Main Authors: Elomaa, Tapio. editor., Mannila, Heikki. editor., Toivonen, Hannu. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2002
Subjects:Computer science., Algorithms., Mathematical logic., Artificial intelligence., Computer Science., Artificial Intelligence (incl. Robotics)., Algorithm Analysis and Problem Complexity., Mathematical Logic and Formal Languages.,
Online Access:http://dx.doi.org/10.1007/3-540-36755-1
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record_format koha
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
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databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Computer science.
Algorithms.
Mathematical logic.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Algorithm Analysis and Problem Complexity.
Mathematical Logic and Formal Languages.
Computer science.
Algorithms.
Mathematical logic.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Algorithm Analysis and Problem Complexity.
Mathematical Logic and Formal Languages.
spellingShingle Computer science.
Algorithms.
Mathematical logic.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Algorithm Analysis and Problem Complexity.
Mathematical Logic and Formal Languages.
Computer science.
Algorithms.
Mathematical logic.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Algorithm Analysis and Problem Complexity.
Mathematical Logic and Formal Languages.
Elomaa, Tapio. editor.
Mannila, Heikki. editor.
Toivonen, Hannu. editor.
SpringerLink (Online service)
Machine Learning: ECML 2002 [electronic resource] : 13th European Conference on Machine Learning Helsinki, Finland, August 19–23, 2002 Proceedings /
description This book constitutes the refereed preceedings of the 13th European Conference on Machine Learning, ECML 2002, held in Helsinki, Finland in August 2002. The 41 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are computational discovery, search strategies, Classification, support vector machines, kernel methods, rule induction, linear learning, decision tree learning, boosting, collaborative learning, statistical learning, clustering, instance-based learning, reinforcement learning, multiagent learning, multirelational learning, Markov decision processes, active learning, etc.
format Texto
topic_facet Computer science.
Algorithms.
Mathematical logic.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Algorithm Analysis and Problem Complexity.
Mathematical Logic and Formal Languages.
author Elomaa, Tapio. editor.
Mannila, Heikki. editor.
Toivonen, Hannu. editor.
SpringerLink (Online service)
author_facet Elomaa, Tapio. editor.
Mannila, Heikki. editor.
Toivonen, Hannu. editor.
SpringerLink (Online service)
author_sort Elomaa, Tapio. editor.
title Machine Learning: ECML 2002 [electronic resource] : 13th European Conference on Machine Learning Helsinki, Finland, August 19–23, 2002 Proceedings /
title_short Machine Learning: ECML 2002 [electronic resource] : 13th European Conference on Machine Learning Helsinki, Finland, August 19–23, 2002 Proceedings /
title_full Machine Learning: ECML 2002 [electronic resource] : 13th European Conference on Machine Learning Helsinki, Finland, August 19–23, 2002 Proceedings /
title_fullStr Machine Learning: ECML 2002 [electronic resource] : 13th European Conference on Machine Learning Helsinki, Finland, August 19–23, 2002 Proceedings /
title_full_unstemmed Machine Learning: ECML 2002 [electronic resource] : 13th European Conference on Machine Learning Helsinki, Finland, August 19–23, 2002 Proceedings /
title_sort machine learning: ecml 2002 [electronic resource] : 13th european conference on machine learning helsinki, finland, august 19–23, 2002 proceedings /
publisher Berlin, Heidelberg : Springer Berlin Heidelberg,
publishDate 2002
url http://dx.doi.org/10.1007/3-540-36755-1
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spelling KOHA-OAI-TEST:1961462018-07-30T23:21:41ZMachine Learning: ECML 2002 [electronic resource] : 13th European Conference on Machine Learning Helsinki, Finland, August 19–23, 2002 Proceedings / Elomaa, Tapio. editor. Mannila, Heikki. editor. Toivonen, Hannu. editor. SpringerLink (Online service) textBerlin, Heidelberg : Springer Berlin Heidelberg,2002.engThis book constitutes the refereed preceedings of the 13th European Conference on Machine Learning, ECML 2002, held in Helsinki, Finland in August 2002. The 41 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are computational discovery, search strategies, Classification, support vector machines, kernel methods, rule induction, linear learning, decision tree learning, boosting, collaborative learning, statistical learning, clustering, instance-based learning, reinforcement learning, multiagent learning, multirelational learning, Markov decision processes, active learning, etc.Contributed Papers -- Convergent Gradient Ascent in General-Sum Games -- Revising Engineering Models: Combining Computational Discovery with Knowledge -- Variational Extensions to EM and Multinomial PCA -- Learning and Inference for Clause Identification -- An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks -- Variance Optimized Bagging -- How to Make AdaBoost.M1 Work for Weak Base Classifiers by Changing Only One Line of the Code -- Sparse Online Greedy Support Vector Regression -- Pairwise Classification as an Ensemble Technique -- RIONA: A Classifier Combining Rule Induction and k-NN Method with Automated Selection of Optimal Neighbourhood -- Using Hard Classifiers to Estimate Conditional Class Probabilities -- Evidence that Incremental Delta-Bar-Delta Is an Attribute-Efficient Linear Learner -- Scaling Boosting by Margin-Based Inclusion of Features and Relations -- Multiclass Alternating Decision Trees -- Possibilistic Induction in Decision-Tree Learning -- Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains -- Collaborative Learning of Term-Based Concepts for Automatic Query Expansion -- Learning to Play a Highly Complex Game from Human Expert Games -- Reliable Classifications with Machine Learning -- Robustness Analyses of Instance-Based Collaborative Recommendation -- iBoost: Boosting Using an instance-Based Exponential Weighting Scheme -- Towards a Simple Clustering Criterion Based on Minimum Length Encoding -- Class Probability Estimation and Cost-Sensitive Classification Decisions -- On-Line Support Vector Machine Regression -- Q-Cut—Dynamic Discovery of Sub-goals in Reinforcement Learning -- A Multistrategy Approach to the Classification of Phases in Business Cycles -- A Robust Boosting Algorithm -- Case Exchange Strategies in Multiagent Learning -- Inductive Confidence Machines for Regression -- Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique -- Propagation of Q-values in Tabular TD(?) -- Transductive Confidence Machines for Pattern Recognition -- Characterizing Markov Decision Processes -- Phase Transitions and Stochastic Local Search in k-Term DNF Learning -- Discriminative Clustering: Optimal Contingency Tables by Learning Metrics -- Boosting Density Function Estimators -- Ranking with Predictive Clustering Trees -- Support Vector Machines for Polycategorical Classification -- Learning Classification with Both Labeled and Unlabeled Data -- An Information Geometric Perspective on Active Learning -- Stacking with an Extended Set of Meta-level Attributes and MLR -- Invited Papers -- Finding Hidden Factors Using Independent Component Analysis -- Reasoning with Classifiers -- A Kernel Approach for Learning from almost Orthogonal Patterns -- Learning with Mixture Models: Concepts and Applications.This book constitutes the refereed preceedings of the 13th European Conference on Machine Learning, ECML 2002, held in Helsinki, Finland in August 2002. The 41 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are computational discovery, search strategies, Classification, support vector machines, kernel methods, rule induction, linear learning, decision tree learning, boosting, collaborative learning, statistical learning, clustering, instance-based learning, reinforcement learning, multiagent learning, multirelational learning, Markov decision processes, active learning, etc.Computer science.Algorithms.Mathematical logic.Artificial intelligence.Computer Science.Artificial Intelligence (incl. Robotics).Algorithm Analysis and Problem Complexity.Mathematical Logic and Formal Languages.Springer eBookshttp://dx.doi.org/10.1007/3-540-36755-1URN:ISBN:9783540367550

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