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Kernels for Vector-Valued Functions: A Review - Foundations and Trends (R) in Machine Learning Mauricio A. Alvarez
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Kernels for Vector-Valued Functions: A Review - Foundations and Trends (R) in Machine Learning
Mauricio A. Alvarez
Explores different methods to design or learn valid kernel functions for multiple outputs, paying particular attention to the connection between probabilistic and regularization methods. The book is aimed at researchers interested in the theory and application of kernels for vector-valued functions.
86 pages
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2012. gada 19. jūnijs |
| ISBN13 | 9781601985583 |
| Izdevēji | now publishers Inc |
| Lapas | 86 |
| Izmēri | 156 × 234 × 5 mm · 131 g |
| Valoda | Angļu |
