Machine Learning: ECML 2006
17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings
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Beschreibung
Autor*in
Johannes Fürnkranz
Themen in »Machine Learning: ECML 2006«
Boosting Support Vector Machine active learning algorithm algorithmic learning algorithms case-based learning classifier systems clustering algorithms knowledge discovery learning logic machine learning multiple-instance learning sensing
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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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