Pastāsti draugiem par šo preci:
Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives - Information Science and Statistics Jose C. Principe 2010 edition
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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2012. gada 27. maijs |
| ISBN13 | 9781461425854 |
| Izdevēji | Springer-Verlag New York Inc. |
| Lapas | 448 |
| Izmēri | 158 × 234 × 29 mm · 762 g |
| Valoda | Angļu |
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