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• catalog alternative "ECML 2002".
• catalog contributor b12620528.
• catalog contributor b12620529.
• catalog contributor b12620530.
• catalog contributor b12620531.
• catalog created "c2002.".
• catalog date "2002".
• catalog date "c2002.".
• catalog dateCopyrighted "c2002.".
• catalog description "Case Exchange Strategies in Multiagent Learning / Santiago Ontanon and Enric Plaza -- Inductive Confidence Machines for Regression / Harris Papadopoulos, Kostas Proedrou, Volodya Vovk and Alex Gammerman -- Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique / Lourdes Pena Castillo and Stefan Wrobel -- Propagation of Q-values in Tabular TD([lamda]) / Philippe Preux -- Transductive Confidence Machines for Pattern Recognition / Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk and Alex Gammerman -- Characterizing Markov Decision Processes / Bohdana Ratitch and Doina Precup -- Phase Transitions and Stochastic Local Search in k-Term DNF Learning / Ulrich Ruckert, Stefan Kramer and Luc De Raedt -- Discriminative Clustering: Optimal Contingency Tables by Learning Metrics / Janne Sinkkonen, Samuel Kaski and Janne Nikkila -- Boosting Density Function Estimators / Franck Thollard, Marc Sebban and Philippe Ezequel -- ".
• catalog description "Convergent Gradient Ascent in General-Sum Games / Bikramjit Banerjee and Jing Peng -- Revising Engineering Models: Combining Computational Discovery with Knowledge / Stephen D. Bay, Daniel G. Shapiro and Pat Langley -- Variational Extensions to EM and Multinomial PCA / Wray Buntine -- Learning and Inference for Clause Identification / Xavier Carreras, Lluis Marquez, Vasin Punyakanok and Dan Roth -- An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks / Honghua Dai, Gang Li and Yiqing Tu -- Variance Optimized Bagging / Philip Derbeko, Ran El-Yaniv and Ron Meir -- How to Make AdaBoost.M1 Work for Weak Base Classifiers by Changing Only One Line of the Code / Gunther Eibl and Karl Peter Pfeiffer -- Sparse Online Greedy Support Vector Regression / Yaakov Engel, Shie Mannor and Ron Meir -- Pairwise Classification as an Ensemble Technique / Johannes Furnkranz -- ".
• catalog description "Includes bibliographical references and index.".
• catalog description "Learning to Play a Highly Complex Game from Human Expert Games / Tony Krakenes and Ole Martin Halck -- Reliable Classifications with Machine Learning / Matjaz Kukar and Igor Kononenko -- Robustness Analyses of Instance-Based Collaborative Recommendation / Nicholas Kushmerick -- iBoost: Boosting Using an instance-Based Exponential Weighting Scheme / Stephen Kwek and Chau Nguyen -- Towards a Simple Clustering Criterion Based on Minimum Length Encoding / Marcus-Christopher Ludl and Gerhard Widmer -- Class Probability Estimation and Cost-Sensitive Classification Decisions / Dragos D. Margincantu -- On-Line Support Vector Machine Regression / Mario Martin -- Q-Cut. Dynamic Discovery of Sub-goals in Reinforcement Learning / Ishai Mcuache, Shie Mannor and Nahum Shimkin -- A Multistrategy Approach to the Classification of Phases in Business Cycles / Katharina Morik and Stefan Ruping -- A Robust Boosting Algorithm / Richard Nock and Patrice Lefaucheur -- ".
• catalog description "RIONA: A Classifier Combining Rule Induction and k-NN Method with Automated Selection of Optimal Neighbourhood / Grzegorz Gora and Arkadiusz Wojna -- Using Hard Classifiers to Estimate Conditional Class Probabilities / Ole Martin Halck -- Evidence that Incremental Delta-Bar-Delta Is an Attribute-Efficient Linear Learner / Harlan D. Harris -- Scaling Boosting by Margin-Based Inclusion of Features and Relations / Susanne Hoche and Stefan Wrobel -- Multiclass Alternating Decision Trees / Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank and Mark Hall -- Possibilistic Induction in Decision-Tree Learning / Eyke Hullermeier -- Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains / Christopher Kermorvant and Pierre Dupont -- Collaborative Learning of Term-Based Concepts for Automatic Query Expansion / Stefan Klink, Armin Hust, Markus Junker and Andreas Dengel -- ".
• catalog description "Ranking with Predictive Clustering Trees / Ljupco Todorovski, Hendrik Blockeel and Saso Dzeroski -- Support Vector Machines for Polycategorical Classification / Ioannis Tsochantaridis and Thomas Hofmann -- Learning Classification with Both Labeled and Unlabeled Data / Jean-Noel Vittaut, Massih-Reza Amini and Patrick Gallinari -- An Information Geometric Perspective on Active Learning / Chen-Hsiang Yeang -- Stacking with an Extended Set of Meta-level Attributes and MLR / Bernard Zenko and Saso Dzeroski -- Finding Hidden Factors Using Independent Component Analysis / Erkki Oja -- Reasoning with Classifiers / Dan Roth -- A Kernel Approach for Learning from almost Orthogonal Patterns / Bernhard Scholkopf, Jason Weston, Eleazar Eskin, Christina Leslie and William Stafford Noble -- Learning with Mixture Models: Concepts and Applications / Padhraic Smyth.".
• catalog extent "xiii, 532 p. :".
• catalog hasFormat "Also available via the World Wide Web.".
• catalog identifier "3540440364 (pbk. : acid-free paper)".
• catalog isFormatOf "Also available via the World Wide Web.".
• catalog isPartOf "Lecture notes in computer science ; 2430.".
• catalog isPartOf "Lecture notes in computer science, 0302-9743 ; 2430. Lecture notes in artificial intelligence".
• catalog isPartOf "Lecture notes in computer science. Lecture notes in artificial intelligence.".
• catalog issued "2002".
• catalog issued "c2002.".
• catalog language "eng".
• catalog publisher "Berlin ; New York : Springer,".
• catalog relation "Also available via the World Wide Web.".
• catalog subject "006.3/1 21".
• catalog subject "Machine learning Congresses.".
• catalog subject "Q325.5 .E85 2002".
• catalog tableOfContents "Case Exchange Strategies in Multiagent Learning / Santiago Ontanon and Enric Plaza -- Inductive Confidence Machines for Regression / Harris Papadopoulos, Kostas Proedrou, Volodya Vovk and Alex Gammerman -- Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique / Lourdes Pena Castillo and Stefan Wrobel -- Propagation of Q-values in Tabular TD([lamda]) / Philippe Preux -- Transductive Confidence Machines for Pattern Recognition / Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk and Alex Gammerman -- Characterizing Markov Decision Processes / Bohdana Ratitch and Doina Precup -- Phase Transitions and Stochastic Local Search in k-Term DNF Learning / Ulrich Ruckert, Stefan Kramer and Luc De Raedt -- Discriminative Clustering: Optimal Contingency Tables by Learning Metrics / Janne Sinkkonen, Samuel Kaski and Janne Nikkila -- Boosting Density Function Estimators / Franck Thollard, Marc Sebban and Philippe Ezequel -- ".
• catalog tableOfContents "Convergent Gradient Ascent in General-Sum Games / Bikramjit Banerjee and Jing Peng -- Revising Engineering Models: Combining Computational Discovery with Knowledge / Stephen D. Bay, Daniel G. Shapiro and Pat Langley -- Variational Extensions to EM and Multinomial PCA / Wray Buntine -- Learning and Inference for Clause Identification / Xavier Carreras, Lluis Marquez, Vasin Punyakanok and Dan Roth -- An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks / Honghua Dai, Gang Li and Yiqing Tu -- Variance Optimized Bagging / Philip Derbeko, Ran El-Yaniv and Ron Meir -- How to Make AdaBoost.M1 Work for Weak Base Classifiers by Changing Only One Line of the Code / Gunther Eibl and Karl Peter Pfeiffer -- Sparse Online Greedy Support Vector Regression / Yaakov Engel, Shie Mannor and Ron Meir -- Pairwise Classification as an Ensemble Technique / Johannes Furnkranz -- ".
• catalog tableOfContents "Learning to Play a Highly Complex Game from Human Expert Games / Tony Krakenes and Ole Martin Halck -- Reliable Classifications with Machine Learning / Matjaz Kukar and Igor Kononenko -- Robustness Analyses of Instance-Based Collaborative Recommendation / Nicholas Kushmerick -- iBoost: Boosting Using an instance-Based Exponential Weighting Scheme / Stephen Kwek and Chau Nguyen -- Towards a Simple Clustering Criterion Based on Minimum Length Encoding / Marcus-Christopher Ludl and Gerhard Widmer -- Class Probability Estimation and Cost-Sensitive Classification Decisions / Dragos D. Margincantu -- On-Line Support Vector Machine Regression / Mario Martin -- Q-Cut. Dynamic Discovery of Sub-goals in Reinforcement Learning / Ishai Mcuache, Shie Mannor and Nahum Shimkin -- A Multistrategy Approach to the Classification of Phases in Business Cycles / Katharina Morik and Stefan Ruping -- A Robust Boosting Algorithm / Richard Nock and Patrice Lefaucheur -- ".
• catalog tableOfContents "RIONA: A Classifier Combining Rule Induction and k-NN Method with Automated Selection of Optimal Neighbourhood / Grzegorz Gora and Arkadiusz Wojna -- Using Hard Classifiers to Estimate Conditional Class Probabilities / Ole Martin Halck -- Evidence that Incremental Delta-Bar-Delta Is an Attribute-Efficient Linear Learner / Harlan D. Harris -- Scaling Boosting by Margin-Based Inclusion of Features and Relations / Susanne Hoche and Stefan Wrobel -- Multiclass Alternating Decision Trees / Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank and Mark Hall -- Possibilistic Induction in Decision-Tree Learning / Eyke Hullermeier -- Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains / Christopher Kermorvant and Pierre Dupont -- Collaborative Learning of Term-Based Concepts for Automatic Query Expansion / Stefan Klink, Armin Hust, Markus Junker and Andreas Dengel -- ".
• catalog tableOfContents "Ranking with Predictive Clustering Trees / Ljupco Todorovski, Hendrik Blockeel and Saso Dzeroski -- Support Vector Machines for Polycategorical Classification / Ioannis Tsochantaridis and Thomas Hofmann -- Learning Classification with Both Labeled and Unlabeled Data / Jean-Noel Vittaut, Massih-Reza Amini and Patrick Gallinari -- An Information Geometric Perspective on Active Learning / Chen-Hsiang Yeang -- Stacking with an Extended Set of Meta-level Attributes and MLR / Bernard Zenko and Saso Dzeroski -- Finding Hidden Factors Using Independent Component Analysis / Erkki Oja -- Reasoning with Classifiers / Dan Roth -- A Kernel Approach for Learning from almost Orthogonal Patterns / Bernhard Scholkopf, Jason Weston, Eleazar Eskin, Christina Leslie and William Stafford Noble -- Learning with Mixture Models: Concepts and Applications / Padhraic Smyth.".
• catalog title "ECML 2002".
• catalog title "Machine learning : ECML 2002 : 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002 : proceedings / Tapio Elomaa, Heikki Mannila, Hannu Toivonen, eds.".
• catalog type "Conference proceedings. fast".
• catalog type "text".