Machine Learning: ECML 2001 (Paperback)

Luc de Raedt

ISBN 10: 3540425365 / ISBN 13: 9783540425366

Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2001

Beschreibung

Paperback. This book constitutes the refereed proceedings of the 12th European Conference on Machine Learning, ECML 2001, held in Freiburg, Germany, in September 2001.The 50 revised full papers presented together with four invited contributions were carefully reviewed and selected from a total of 140 submissions. Among the topics covered are classifier systems, naive-Bayes classification, rule learning, decision tree-based classification, Web mining, equation discovery, inductive logic programming, text categorization, agent learning, backpropagation, reinforcement learning, sequence prediction, sequential decisions, classification learning, sampling, and semi-supervised learning. This text constitutes the proceedings of the 12th European Conference on Machine Learning, 2001 and presents 50 revised papers and four invited contributions. Among the topics covered are classifier systems, naive-Bayes classification, rule learning, Web mining and inductive logic programming. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Bestandsnummer des Verkäufers 9783540425366

Bibliografische Details

• Titel: Machine Learning: ECML 2001 (Paperback)
• Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin
• Erscheinungsjahr: 2001
• Sprache: Englisch
• ISBN-10: 3540425365
• ISBN-13: 9783540425366
• Einband: Paperback
• Zustand: new

Über diesen Titel

Inhaltsangabe

This book constitutes the refereed proceedings of the 12th European Conference on Machine Learning, ECML 2001, held in Freiburg, Germany, in September 2001.
The 50 revised full papers presented together with four invited contributions were carefully reviewed and selected from a total of 140 submissions. Among the topics covered are classifier systems, naive-Bayes classification, rule learning, decision tree-based classification, Web mining, equation discovery, inductive logic programming, text categorization, agent learning, backpropagation, reinforcement learning, sequence prediction, sequential decisions, classification learning, sampling, and semi-supervised learning.