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A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning

✍ Scribed by Jian-Wu Xu; Paiva, A.R.C.; Park, Il; Principe, J.C.

Book ID
119822938
Publisher
IEEE
Year
2008
Tongue
English
Weight
596 KB
Volume
56
Category
Article
ISSN
1053-587X

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[Information Science and Statistics] Information Theoretic Learning || Information Theory, Machine Learning, and Reproducing Kernel Hilbert Spaces
✍ Principe, Jose C. πŸ“‚ Article πŸ“… 2010 πŸ› Springer New York 🌐 English βš– 844 KB

This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It compares the performance of ITL algorithms with the second order counterparts in many applications.