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Regularization, Optimization, Kernels, and Support Vector Machines - Chapman & Hall / CRC Machine Learning & Pattern Recognition 1st edition
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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
| Size | M |
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | September 30, 2020 |
| ISBN13 | 9780367658984 |
| Publishers | Taylor & Francis Ltd |
| Pages | 525 |
| Dimensions | 150 × 220 × 10 mm · 453 g |
| Language | English |
| Editor | Argyriou, Andreas |
| Editor | Signoretto, Marco |
| Editor | Suykens, Johan A.K. |