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• catalog abstract "The 5th International Workshop on Learning Classi?er Systems (IWLCS2002) was held September 7–8, 2002, in Granada, Spain, during the 7th International Conference on Parallel Problem Solving from Nature (PPSN VII). We have included in this volume revised and extended versions of the papers presented at the workshop. In the ?rst paper, Browne introduces a new model of learning classi?er system, iLCS, and tests it on the Wisconsin Breast Cancer classi?cation problem. Dixon et al. present an algorithm for reducing the solutions evolved by the classi?er system XCS, so as to produce a small set of readily understandable rules. Enee and Barbaroux take a close look at Pittsburgh-style classi?er systems, focusing on the multi-agent problem known as El-farol. Holmes and Bilker investigate the effect that various types of missing data have on the classi?cation performance of learning classi?er systems. The two papers by Kovacs deal with an important theoretical issue in learning classi?er systems: the use of accuracy-based ?tness as opposed to the more traditional strength-based ?tness. In the ?rst paper, Kovacs introduces a strength-based version of XCS, called SB-XCS. The original XCS and the new SB-XCS are compared in the second paper, where - vacs discusses the different classes of solutions that XCS and SB-XCS tend to evolve.".
• catalog contributor b13117949.
• catalog contributor b13117950.
• catalog contributor b13117951.
• catalog contributor b13117952.
• catalog created "c2003.".
• catalog date "2003".
• catalog date "c2003.".
• catalog dateCopyrighted "c2003.".
• catalog description "Includes bibliographical references (pages 187-229) and index.".
• catalog description "The 5th International Workshop on Learning Classi?er Systems (IWLCS2002) was held September 7–8, 2002, in Granada, Spain, during the 7th International Conference on Parallel Problem Solving from Nature (PPSN VII). We have included in this volume revised and extended versions of the papers presented at the workshop. In the ?rst paper, Browne introduces a new model of learning classi?er system, iLCS, and tests it on the Wisconsin Breast Cancer classi?cation problem. Dixon et al. present an algorithm for reducing the solutions evolved by the classi?er system XCS, so as to produce a small set of readily understandable rules. Enee and Barbaroux take a close look at Pittsburgh-style classi?er systems, focusing on the multi-agent problem known as El-farol. Holmes and Bilker investigate the effect that various types of missing data have on the classi?cation performance of learning classi?er systems. The two papers by Kovacs deal with an important theoretical issue in learning classi?er systems: the use of accuracy-based ?tness as opposed to the more traditional strength-based ?tness. In the ?rst paper, Kovacs introduces a strength-based version of XCS, called SB-XCS. The original XCS and the new SB-XCS are compared in the second paper, where - vacs discusses the different classes of solutions that XCS and SB-XCS tend to evolve.".
• catalog description "The Effect of Missing Data on Learning Classifier System Learning Rate and Classification Performance / John H. Holmes and Warren B. Bilker -- XCS's Strength-Based Twin / Tim Kovacs -- Further Comparison between ATNoSFERES and XCSM / Samuel Landau [and others] -- Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection / Xavier Llora [and others] -- Anticipatory Classifier System Using Behavioral Sequences in Non-Markov Environments / Marc Metivier and Claude Lattaud -- Mapping Artificial Immune Systems into Learning Classifier Systems / Patricia A. Vargas, Leandro N. de Castro, Fernando J. Von Zuben -- The 2003 Learning Classifier Systems Bibliography / Tim Kovacs.".
• catalog extent "229 p. :".
• catalog identifier "3540205446 (acid-free paper)".
• catalog isPartOf "Lecture notes in computer science ; 2321.".
• catalog isPartOf "Lecture notes in computer science, 0302-9743 ; 2321. Lecture notes in artificial intelligence".
• catalog isPartOf "Lecture notes in computer science. Lecture notes in artificial intelligence.".
• catalog issued "2003".
• catalog issued "c2003.".
• catalog language "eng".
• catalog publisher "New York : Springer,".
• catalog subject "006.3/1 22".
• catalog subject "Artificial intelligence.".
• catalog subject "Computer science.".
• catalog subject "Database management.".
• catalog subject "Machine learning Congresses.".
• catalog subject "Q325.5 .I87 2002".
• catalog tableOfContents "The Effect of Missing Data on Learning Classifier System Learning Rate and Classification Performance / John H. Holmes and Warren B. Bilker -- XCS's Strength-Based Twin / Tim Kovacs -- Further Comparison between ATNoSFERES and XCSM / Samuel Landau [and others] -- Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection / Xavier Llora [and others] -- Anticipatory Classifier System Using Behavioral Sequences in Non-Markov Environments / Marc Metivier and Claude Lattaud -- Mapping Artificial Immune Systems into Learning Classifier Systems / Patricia A. Vargas, Leandro N. de Castro, Fernando J. Von Zuben -- The 2003 Learning Classifier Systems Bibliography / Tim Kovacs.".
• catalog title "Learning classifier systems : 5th international workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002 : revised papers / Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson (eds.).".
• catalog type "Conference proceedings. fast".
• catalog type "Granada (2002) swd".
• catalog type "text".