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• catalog contributor b12406881.
• catalog contributor b12406882.
• catalog contributor b12406883.
• catalog created "c2001.".
• catalog date "2001".
• catalog date "c2001.".
• catalog dateCopyrighted "c2001.".
• catalog description "An Axiomatic Approach to Feature Term Generalization / Hassan Ait-Kaci and Yutaka Sasaki -- Lazy Induction of Descriptions for Relational Case-Based Learning / Eva Armengol and Enric Plaza -- Estimating the Predictive Accuracy of a Classifier / Hilan Bensusan and Alexandros Kalousis -- Improving the Robustness and Encoding Complexity of Behavioural Clones / Rui Camacho and Pavel Brazdil -- A Framework for Learning Rules from Multiple Instance Data / Yann Chevaleyre and Jean-Daniel Zucker -- Wrapping Web Information Providers by Transducer Induction / Boris Chidlovskii -- Learning While Exploring: Bridging the Gaps in the Eligibility Traces / Fredrik A. Dahl and Ole Martin Halck -- A Reinforcement Learning Algorithm Applied to Simplified Two-Player Texas Hold'em Poker / Fredrik A. Dahl -- Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner / Kurt Driessens, Jan Ramon and Hendrik Blockeel -- ".
• catalog description "Analysis of the Performance of AdaBoost.M2 for the Simulated Digit-Recognition-Example / Gunther Eibl and Karl Peter Pfeiffer -- Iterative Double Clustering for Unsupervised and Semi-supervised Learning / Ran El-Yaniv and Oren Souroujon -- On the Practice of Branching Program Boosting / Tapio Elomaa and Matti Kaariainen -- A Simple Approach to Ordinal Classification / Eibe Frank and Mark Hall -- Fitness Distance Correlation of Neural Network Error Surfaces: A Scalable, Continuous Optimization Problem / Marcus Gallagher -- Extraction of Recurrent Patterns from Stratified Ordered Trees / Jean-Gabriel Ganascia -- Understanding Probabilistic Classifiers / Ashutosh Garg and Dan Roth -- Efficiently Determining the Starting Sample Size for Progressive Sampling / Baohua Gu, Bing Liu and Feifang Hu / [et al.] -- Using Subclasses to Improve Classification Learning / Achim Hoffmann, Rex Kwok and Paul Compton -- Learning What People (Don't) Want / Thomas Hofmann -- ".
• catalog description "DQL: A New Updating Strategy for Reinforcement Learning Based on Q-Learning / Carlos E. Mariano and Eduardo F. Morales -- A Language-Based Similarity Measure / Lionel Martin and Frederic Moal -- Backpropagation in Decision Trees for Regression / Victor Medina-Chico, Alberto Suarez and James F. Lutsko -- Comparing the Bayes and Typicalness Frameworks / Thomas Melluish, Craig Saunders and Ilia Nouretdinov / [et al.] -- Symbolic Discriminant Analysis for Mining Gene Expression Patterns / Jason H. Moore, Joel S. Parker and Lance W. Hahn -- Social Agents Playing a Periodical Policy / Ann Nowe, Johan Parent and Katja Verbeeck -- Learning When to Collaborate among Learning Agents / Santiago Ontanon and Enric Plaza -- Building Committees by Clustering Models Based on Pairwise Similarity Values / Thomas Ragg -- Second Order Features for Maximising Text Classification Performance / Bhavani Raskutti, Herman Ferra and Adam Kowalczyk -- ".
• catalog description "Discovering Admissible Simultaneous Equation Models from Observed Data / Takashi Washio, Hiroshi Motoda and Yuji Niwa -- Discovering Strong Principles of Expressive Music Performance with the PLCG Rule Learning Strategy / Gerhard Widmer -- Proportional k-Interval Discretization for Naive-Bayes Classifiers / Ying Yang and Geoffrey I. Webb -- Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error / Gabriele Zenobi and Padraig Cunningham -- Geometric Properties of Naive Bayes in Nominal Domains / Huajie Zhang and Charles X. Ling -- Support Vectors for Reinforcement Learning / Thomas G. Dietterich and Xin Wang -- Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining / Heikki Mannila -- Statistification or Mystification? The Need for Statistical Thought in Visual Data Mining / Antony Unwin -- The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery / Gerhard Widmer -- ".
• catalog description "Importance Sampling Techniques in Neural Detector Training / Jose L. Sanz-Gonzalez and Diego Andina -- Induction of Qualitative Trees / Dorian Suc and Ivan Bratko -- Text Categorization Using Transductive Boosting / Hirotoshi Taira and Masahiko Haruno -- Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing / Lappoon R. Tang and Raymond J. Mooney -- Using Domain Knowledge on Population Dynamics Modeling for Equation Discovery / Ljupco Todorovski and Saso Dzeroski -- Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL / Peter D. Turney -- A Unified Framework for Evaluation Metrics in Classification Using Decision Trees / Ricardo Vilalta, Mark Brodie and Daniel Oblinger / [et al.] -- Improving Term Extraction by System Combination Using Boosting / Jordi Vivaldi, Lluis Marquez and Horacio Rodriguez -- Classification on Data with Biased Class Distribution / Slobodan Vucetic and Zoran Obradovic -- ".
• catalog description "Includes bibliographical references and index.".
• catalog description "Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery / Stefan Wrobel.".
• catalog description "Towards a Universal Theory of Artificial Intelligence Based on Algorithmic Probability and Sequential Decisions / Marcus Hutter -- Convergence and Error Bounds for Universal Prediction of Nonbinary Sequences / Marcus Hutter -- Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction / Branko Kavsek, Nada Lavrac and Anuska Ferligoj -- Learning of Variability for Invariant Statistical Pattern Recognition / Daniel Keysers, Wolfgang Macherey and Jorg Dahmen / [et al.] -- The Evaluation of Predictive Learners: Some Theoretical and Empirical Results / Kevin B. Korb, Lucas R. Hope and Michelle J. Hughes -- An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning / Wojciech Kwedlo and Marek Kretowski -- A Mixture Approach to Novelty Detection Using Training Data with Outliers / Martin Lauer -- Applying the Bayesian Evidence Framework to v-Support Vector Regression / Martin H. Law and James T. Kwok -- ".
• catalog extent "xvii, 618 p. :".
• catalog identifier "3540425365 (softcover : alk. paper)".
• catalog isPartOf "Lecture notes in artificial intelligence ; 2167. Lecture notes in computer science".
• catalog isPartOf "Lecture notes in computer science ; 2167.".
• catalog isPartOf "Lecture notes in computer science. Lecture notes in artificial intelligence.".
• catalog issued "2001".
• catalog issued "c2001.".
• catalog language "eng".
• catalog publisher "Berlin ; New York : Springer-Verlag,".
• catalog subject "006.3/1 21".
• catalog subject "Machine learning Congresses.".
• catalog subject "Machine learning Industrial applications Congresses.".
• catalog subject "Q325.5 .E85 2001".
• catalog tableOfContents "An Axiomatic Approach to Feature Term Generalization / Hassan Ait-Kaci and Yutaka Sasaki -- Lazy Induction of Descriptions for Relational Case-Based Learning / Eva Armengol and Enric Plaza -- Estimating the Predictive Accuracy of a Classifier / Hilan Bensusan and Alexandros Kalousis -- Improving the Robustness and Encoding Complexity of Behavioural Clones / Rui Camacho and Pavel Brazdil -- A Framework for Learning Rules from Multiple Instance Data / Yann Chevaleyre and Jean-Daniel Zucker -- Wrapping Web Information Providers by Transducer Induction / Boris Chidlovskii -- Learning While Exploring: Bridging the Gaps in the Eligibility Traces / Fredrik A. Dahl and Ole Martin Halck -- A Reinforcement Learning Algorithm Applied to Simplified Two-Player Texas Hold'em Poker / Fredrik A. Dahl -- Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner / Kurt Driessens, Jan Ramon and Hendrik Blockeel -- ".
• catalog tableOfContents "Analysis of the Performance of AdaBoost.M2 for the Simulated Digit-Recognition-Example / Gunther Eibl and Karl Peter Pfeiffer -- Iterative Double Clustering for Unsupervised and Semi-supervised Learning / Ran El-Yaniv and Oren Souroujon -- On the Practice of Branching Program Boosting / Tapio Elomaa and Matti Kaariainen -- A Simple Approach to Ordinal Classification / Eibe Frank and Mark Hall -- Fitness Distance Correlation of Neural Network Error Surfaces: A Scalable, Continuous Optimization Problem / Marcus Gallagher -- Extraction of Recurrent Patterns from Stratified Ordered Trees / Jean-Gabriel Ganascia -- Understanding Probabilistic Classifiers / Ashutosh Garg and Dan Roth -- Efficiently Determining the Starting Sample Size for Progressive Sampling / Baohua Gu, Bing Liu and Feifang Hu / [et al.] -- Using Subclasses to Improve Classification Learning / Achim Hoffmann, Rex Kwok and Paul Compton -- Learning What People (Don't) Want / Thomas Hofmann -- ".
• catalog tableOfContents "DQL: A New Updating Strategy for Reinforcement Learning Based on Q-Learning / Carlos E. Mariano and Eduardo F. Morales -- A Language-Based Similarity Measure / Lionel Martin and Frederic Moal -- Backpropagation in Decision Trees for Regression / Victor Medina-Chico, Alberto Suarez and James F. Lutsko -- Comparing the Bayes and Typicalness Frameworks / Thomas Melluish, Craig Saunders and Ilia Nouretdinov / [et al.] -- Symbolic Discriminant Analysis for Mining Gene Expression Patterns / Jason H. Moore, Joel S. Parker and Lance W. Hahn -- Social Agents Playing a Periodical Policy / Ann Nowe, Johan Parent and Katja Verbeeck -- Learning When to Collaborate among Learning Agents / Santiago Ontanon and Enric Plaza -- Building Committees by Clustering Models Based on Pairwise Similarity Values / Thomas Ragg -- Second Order Features for Maximising Text Classification Performance / Bhavani Raskutti, Herman Ferra and Adam Kowalczyk -- ".
• catalog tableOfContents "Discovering Admissible Simultaneous Equation Models from Observed Data / Takashi Washio, Hiroshi Motoda and Yuji Niwa -- Discovering Strong Principles of Expressive Music Performance with the PLCG Rule Learning Strategy / Gerhard Widmer -- Proportional k-Interval Discretization for Naive-Bayes Classifiers / Ying Yang and Geoffrey I. Webb -- Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error / Gabriele Zenobi and Padraig Cunningham -- Geometric Properties of Naive Bayes in Nominal Domains / Huajie Zhang and Charles X. Ling -- Support Vectors for Reinforcement Learning / Thomas G. Dietterich and Xin Wang -- Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining / Heikki Mannila -- Statistification or Mystification? The Need for Statistical Thought in Visual Data Mining / Antony Unwin -- The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery / Gerhard Widmer -- ".
• catalog tableOfContents "Importance Sampling Techniques in Neural Detector Training / Jose L. Sanz-Gonzalez and Diego Andina -- Induction of Qualitative Trees / Dorian Suc and Ivan Bratko -- Text Categorization Using Transductive Boosting / Hirotoshi Taira and Masahiko Haruno -- Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing / Lappoon R. Tang and Raymond J. Mooney -- Using Domain Knowledge on Population Dynamics Modeling for Equation Discovery / Ljupco Todorovski and Saso Dzeroski -- Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL / Peter D. Turney -- A Unified Framework for Evaluation Metrics in Classification Using Decision Trees / Ricardo Vilalta, Mark Brodie and Daniel Oblinger / [et al.] -- Improving Term Extraction by System Combination Using Boosting / Jordi Vivaldi, Lluis Marquez and Horacio Rodriguez -- Classification on Data with Biased Class Distribution / Slobodan Vucetic and Zoran Obradovic -- ".
• catalog tableOfContents "Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery / Stefan Wrobel.".
• catalog tableOfContents "Towards a Universal Theory of Artificial Intelligence Based on Algorithmic Probability and Sequential Decisions / Marcus Hutter -- Convergence and Error Bounds for Universal Prediction of Nonbinary Sequences / Marcus Hutter -- Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction / Branko Kavsek, Nada Lavrac and Anuska Ferligoj -- Learning of Variability for Invariant Statistical Pattern Recognition / Daniel Keysers, Wolfgang Macherey and Jorg Dahmen / [et al.] -- The Evaluation of Predictive Learners: Some Theoretical and Empirical Results / Kevin B. Korb, Lucas R. Hope and Michelle J. Hughes -- An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning / Wojciech Kwedlo and Marek Kretowski -- A Mixture Approach to Novelty Detection Using Training Data with Outliers / Martin Lauer -- Applying the Bayesian Evidence Framework to v-Support Vector Regression / Martin H. Law and James T. Kwok -- ".
• catalog title "Machine learning : ECML 2001 : 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001 : proceedings / Luc De Raedt, Peter Flach, eds.".
• catalog type "Conference proceedings. fast".
• catalog type "Freiburg (Breisgau, 2001) swd".
• catalog type "text".