Regularization, Optimization, Kernels, and Support Vector MachinesAuthor :
Paperback
Published : Wednesday 30 September 2020
Description
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
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