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Kernels for Vector-Valued Functions: A Review - Foundations and Trends (R) in Machine Learning
Mauricio A. Alvarez
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
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | June 19, 2012 |
ISBN13 | 9781601985583 |
Publishers | now publishers Inc |
Pages | 86 |
Dimensions | 156 × 234 × 5 mm · 131 g |
Language | English |
See all of Mauricio A. Alvarez ( e.g. Paperback Book )