Regularization, Optimization, Kernels, and Support Vector Machines

by Johan Suykens (Editor), Marco Signoretto (Editor), Andreas Argyriou (Editor)

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vecto

525 pages, Kindle Edition

First published October 26, 2014