Machine Learning: ECML 2001: 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001. Proceedings: 2167 (Lecture Notes in Artificial Intelligence) - Tapa blanda

 
9783540425366: Machine Learning: ECML 2001: 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001. Proceedings: 2167 (Lecture Notes in Artificial Intelligence)

Sinopsis

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.

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Reseña del editor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Otras ediciones populares con el mismo título

9783662205983: Machine Learning: ECML 2001 : 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001. Proceedings

Edición Destacada

ISBN 10:  366220598X ISBN 13:  9783662205983
Editorial: Springer, 2023
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