The Resource Machine learning : ECML 2002 : 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002 : proceedings, Tapio Elomaa, Heikki Mannila, Hannu Toivonen, eds

Machine learning : ECML 2002 : 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002 : proceedings, Tapio Elomaa, Heikki Mannila, Hannu Toivonen, eds

Label
Machine learning : ECML 2002 : 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002 : proceedings
Title
Machine learning
Title remainder
ECML 2002 : 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002 : proceedings
Statement of responsibility
Tapio Elomaa, Heikki Mannila, Hannu Toivonen, eds
Creator
Contributor
Subject
Genre
Language
eng
Member of
Cataloging source
DLC
Illustrations
illustrations
Index
index present
LC call number
Q325.5
LC item number
.E85 2002
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2002
http://bibfra.me/vocab/lite/meetingName
European Conference on Machine Learning
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1963-
http://library.link/vocab/relatedWorkOrContributorName
  • Elomaa, Tapio
  • Mannila, Heikki
  • Toivonen, Hannu
Series statement
  • Lecture notes in computer science,
  • Lecture notes in artificial intelligence
Series volume
2430.
http://library.link/vocab/subjectName
  • Machine learning
  • Apprentissage automatique
  • Machine learning
  • Machine-learning
  • Leerpsychologie
  • arbre décision
  • apprentissage base-cas
  • échantillonnage
  • système classification
  • inférence inductive
  • algorithmique
  • apprentissage machine
  • Apprentissage automatique
  • arbre décision
  • apprentissage base-cas
  • échantillonnage
  • système classification
  • inférence inductive
  • algorithmique
  • apprentissage machine
Label
Machine learning : ECML 2002 : 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002 : proceedings, Tapio Elomaa, Heikki Mannila, Hannu Toivonen, eds
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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 -- 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 -- 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 -- 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 -- 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
Dimensions
24 cm.
Dimensions
unknown
Extent
xiii, 532 pages
Isbn
9783540440369
Isbn Type
(pbk. : acid-free paper)
Lccn
2002029160
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
Specific material designation
remote
System control number
  • (OCoLC)50198391
  • (OCoLC)ocm50198391
Label
Machine learning : ECML 2002 : 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002 : proceedings, Tapio Elomaa, Heikki Mannila, Hannu Toivonen, eds
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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 -- 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 -- 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 -- 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 -- 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
Dimensions
24 cm.
Dimensions
unknown
Extent
xiii, 532 pages
Isbn
9783540440369
Isbn Type
(pbk. : acid-free paper)
Lccn
2002029160
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
Specific material designation
remote
System control number
  • (OCoLC)50198391
  • (OCoLC)ocm50198391

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