Machine Learning and Cybernetics
13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings
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Beschreibung
This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Cybernetics, Lanzhou, China, in July 2014. The 45 revised full papers presented were carefully reviewed and selected from 421 submissions. The papers are organized in topical sections on classification and semi-supervised learning; clustering and kernel; application to recognition; sampling and big data; application to detection; decision tree learning; learning and adaptation; similarity and decision making; learning with uncertainty; improved learning algorithms and applications.
Fast-track conference proceedings State-of-the-art research Up-to-date results Includes supplementary material: sn.pub/extras
Autor*in
Xizhao Wang
Themen in »Machine Learning and Cybernetics«
classifier decision making kernel methods machine learning applications machine learning theory reinforcement methods structured prediction support vector machines algorithm analysis and problem complexity