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Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives - Information Science and Statistics Jose C. Principe 2010 edition
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Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives - Information Science and Statistics
Jose C. Principe
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.
448 pages, biography
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 27. maja 2012 |
| ISBN13 | 9781461425854 |
| Založniki | Springer-Verlag New York Inc. |
| Strani | 448 |
| Dimenzije | 158 × 234 × 29 mm · 762 g |
| Jezik | Angleščina |
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