Machine Learning: ECML 2006 / Lecture Notes in Computer Science Bd.4212 (PDF)
This book constitutes the refereed proceedings of the 17th European Conference on Machine Learning, ECML 2006, held, jointly with PKDD 2006. The book presents 46 revised full papers and 36 revised short papers together with abstracts of 5 invited talks,...
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This book constitutes the refereed proceedings of the 17th European Conference on Machine Learning, ECML 2006, held, jointly with PKDD 2006. The book presents 46 revised full papers and 36 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers present a wealth of new results in the area and address all current issues in machine learning.
- 2006, 2006, 851 Seiten, Englisch
- Herausgegeben: Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou
- Verlag: Springer-Verlag GmbH
- ISBN-10: 354046056X
- ISBN-13: 9783540460565
- Erscheinungsdatum: 21.09.2006
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- Dateiformat: PDF
- Grösse: 14 MB
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- Vorlesefunktion
From the reviews:
"In this book, we find many ways of representing machine learning from different fields, including active learning, algorithmic learning, case-based learning, classifier systems, clustering algorithms, decision-tree learning, inductive inference, kernel methods, knowledge discovery, multiple-instance learning, reinforcement learning, statistical learning, and support vector machines. Most of the current issues in machine learning research are discussed. … I strongly recommend this book for all researchers interested in the very best of machine learning studies." (Agliberto Cierco, ACM Computing Reviews, Vol. 49 (5), 2008)
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