Regularization, optimization, kernels, and support vector machines
Éditeur :
Taylor & Francis Ltd
ISBN :
9780367658984
Date de publication :
30 sept. 2020
Dimensions :
23,4 x 15,6 cm
Poids :
453 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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 m