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
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Idioma Inglés ● Formato PDF ● Páginas 525 ● ISBN 9781482241402 ● Editor Andreas Argyriou & Marco Signoretto ● Editorial CRC Press ● Publicado 2014 ● Descargable 3 veces ● Divisa EUR ● ID 7124666 ● Protección de copia Adobe DRM
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