Pastāsti draugiem par šo preci:
Regularization, Optimization, Kernels, and Support Vector Machines - Chapman & Hall / CRC Machine Learning & Pattern Recognition 1. izdevums
Izmērs:
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
| Izmērs | M |
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2020. gada 30. septembris |
| ISBN13 | 9780367658984 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 525 |
| Izmēri | 150 × 220 × 10 mm · 453 g |
| Valoda | Angļu |
| Redaktors | Argyriou, Andreas |
| Redaktors | Signoretto, Marco |
| Redaktors | Suykens, Johan A.K. |