Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2002.07b
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- Pages.810-813
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- 2002
Information Theoretic Learning with Maximizing Tsallis Entropy
- Aruga, Nobuhide (Department of Information and Computer Sciences, Faculty of Engineering Saitama University) ;
- Tanaka, Masaru (Department of Information and Computer Sciences, Faculty of Engineering Saitama University)
- Published : 2002.07.01
Abstract
We present the information theoretic learning based on the Tsallis entropy maximization principle for various q. The Tsallis entropy is one of the generalized entropies and is a canonical entropy in the sense of physics. Further, we consider the dependency of the learning on the parameter
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