Regularization, Optimization, Kernels, and Support Vector Machines Regularization, Optimization, Kernels, and Support Vector Machines
Chapman & Hall/CRC Machine Learning & Pattern Recognition

Regularization, Optimization, Kernels, and Support Vector Machines

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Descripción editorial

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

GÉNERO
Informática e Internet
PUBLICADO
2014
23 de octubre
IDIOMA
EN
Inglés
EXTENSIÓN
525
Páginas
EDITORIAL
CRC Press
VENDEDOR
Taylor & Francis Group
TAMAÑO
6
MB
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