Regularization, Optimization, Kernels, and Support Vector Machines

By: Johan A.K. Suykens (Editor), Marco Signoretto (Editor), Andreas Argyriou (Editor)

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eText | 23 October 2014 | Edition Number 1

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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