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Regularization, Optimization, Kernels, and Support Vector Machines

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Hardback
23 October 2014
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This book is a collection of invited contributions from leading researchers in machine learning. Comprised of 21 chapters, this comprehensive reference covers the latest research and advances in regularization, sparsity, and compressed sensing; describes recent progress in convex and large-scale optimization, kernel methods, and support vector machines; and discusses output kernel learning, domain adaptation, multi-layer support vector machines, and more.

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    Product Details
    ISBN-13
    9781482241396
    Author
    Johan A.K. Suykens
    Publisher
    Taylor & Francis Ltd
    Published
    23 October 2014
    Format
    Hardback

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    $324.02
    Ships in 3-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Regularization, Optimization, Kernels, and Support Vector Machines

    $324.02

    Description

    This book is a collection of invited contributions from leading researchers in machine learning. Comprised of 21 chapters, this comprehensive reference covers the latest research and advances in regularization, sparsity, and compressed sensing; describes recent progress in convex and large-scale optimization, kernel methods, and support vector machines; and discusses output kernel learning, domain adaptation, multi-layer support vector machines, and more.

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