Machine Learning: ECML 2002 : 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings

Tapio Elomaa

ISBN 10: 3540440364 / ISBN 13: 9783540440369

Edité par Springer Berlin Heidelberg, 2002

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed preceedings of the 13th European Conference on Machine Learning, ECML 2002, held in Helsinki, Finland in August 2002.The 41 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are computational discovery, search strategies, Classification, support vector machines, kernel methods, rule induction, linear learning, decision tree learning, boosting, collaborative learning, statistical learning, clustering, instance-based learning, reinforcement learning, multiagent learning, multirelational learning, Markov decision processes, active learning, etc.

N° de réf. du vendeur 9783540440369

Détails bibliographiques

• Titre: Machine Learning: ECML 2002 : 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings
• Éditeur: Springer Berlin Heidelberg
• Date de parution: 2002
• Langue: anglais
• ISBN à 10 chiffres: 3540440364
• ISBN à 13 chiffres: 9783540440369
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 30 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 30 millimètres de profondeur
• Poids: 820 grammes

A propos de ce titre

Synopsis

This book constitutes the refereed preceedings of the 13th European Conference on Machine Learning, ECML 2002, held in Helsinki, Finland in August 2002.
The 41 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are computational discovery, search strategies, Classification, support vector machines, kernel methods, rule induction, linear learning, decision tree learning, boosting, collaborative learning, statistical learning, clustering, instance-based learning, reinforcement learning, multiagent learning, multirelational learning, Markov decision processes, active learning, etc.