Regularization, Optimization, Kernels, and Support Vector Machines by Johan A.K. Suykens and Marco Signoretto
English | 2014 | ISBN: 1482241390 | 525 pages | PDF | 8 MB
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 vector machines.