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Regularization, Optimization, Kernels, and Support Vector Machines - Chapman & Hall / CRC Machine Learning & Pattern Recognition 1.º edición
Tamaño:
M
M
Regularization, Optimization, Kernels, and Support Vector Machines - Chapman & Hall / CRC Machine Learning & Pattern Recognition
This book is a collection of invited contributions from leading researchers in machine learning. Comprised of 21 chapters, this comprehensive reference covers the latest research and advances in regularization, sparsity, and compressed sensing; describes recent progress in convex and large-scale optimization, kernel methods, and support vector
525 pages
| Tamaño | M |
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 30 de septiembre de 2020 |
| ISBN13 | 9780367658984 |
| Editores | Taylor & Francis Ltd |
| Páginas | 525 |
| Dimensiones | 150 × 220 × 10 mm · 453 g |
| Lengua | Inglés |
| Editor | Argyriou, Andreas |
| Editor | Signoretto, Marco |
| Editor | Suykens, Johan A.K. |