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Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives - Information Science and Statistics Jose C. Principe
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
| Mídia | Livros Hardcover Book (Livro com lombada e capa dura) |
| Lançado | 15 de abril de 2010 |
| ISBN13 | 9781441915696 |
| Editoras | Springer-Verlag New York Inc. |
| Páginas | 448 |
| Dimensões | 237 × 164 × 33 mm · 943 g |
| Idioma | Inglês |