Machine Learning: ECML 2005

• Type: International Conference Proceedings Book
• Date: 2005

Authors

João Gama (Editor) FEP; Rui Camacho (Editor) FEUP; Pavel Brazdil (Editor) FEP; Alípio M. Jorge (Editor) FEP; Luis Torgo (Editor) FEP

Publisher

Springer

Cham

Conference International

16th European Conference on Machine Learning - ECML 2005

Porto, Portugal, October 3-7, 2005

Scientific classification

FOS: Natural sciences > Computer and information sciences

CORDIS: Physical sciences > Computer science > Cybernetics > Artificial intelligence

Other information

Resumo (PT): This book constitutes the refereed proceedings of the 16th European Conference on Machine Learning, ECML 2005, jointly held with PKDD 2005 in Porto, Portugal, in October 2005. The 40 revised full papers and 32 revised short papers presented together with abstracts of 6 invited talks were carefully reviewed and selected from 335 papers submitted to ECML and 30 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning. Content Level » Research Keywords » Web mining - algorithmic learning - association rule mining - case-based learning - classifier systems - decision tree learning - inductive inference - kernel methods - knowledge discovery - machine learning - multi-agent learning - reinforcement learning - statistical learning - support vector machines Related subjects » Artificial Intelligence - Database Management & Information Retrieval - Theoretical Computer Science

Abstract (EN): This book constitutes the refereed proceedings of the 16th European Conference on Machine Learning, ECML 2005, jointly held with PKDD 2005 in Porto, Portugal, in October 2005. The 40 revised full papers and 32 revised short papers presented together with abstracts of 6 invited talks were carefully reviewed and selected from 335 papers submitted to ECML and 30 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning. Content Level » Research Keywords » Web mining - algorithmic learning - association rule mining - case-based learning - classifier systems - decision tree learning - inductive inference - kernel methods - knowledge discovery - machine learning - multi-agent learning - reinforcement learning - statistical learning - support vector machines Related subjects » Artificial Intelligence - Database Management & Information Retrieval - Theoretical Computer Science

Language: English

Type (Professor's evaluation): Scientific

ISBN: 3-540-29243-8

Collection: Lecture Notes in Computer Science

Vol.: 3720