Regularization, Optimization, Kernels, and Support Vector Machines -
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Toimitus 10-16 arkipäivässä
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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 machines; and discusses output kernel learning, domain adaptatio ... Täydellinen kuvaus
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Kuvaus
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 machines; and discusses output kernel learning, domain adaptation, multi-layer support vector machines, and more.
Lisätietoja
| Julkaisija | CRC Press |
|---|---|
| Julkaisuvuosi | 2014 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9781482241396 |