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    Machine Learning - Kernel Methods

    Klipi teostus: Mirjam Paales, Ethel Kirsimäe 14.05.2013 4224 vaatamist Arvutiteadus


    Given by Konstantin Tretyakov

    Brief summary: Feature space mapping, the kernel trick, dual representation, kernelization.

    Slides: (pdf)

    Literature:
    Cristianini and Shawe-Taylor: An Introduction to Support Vector Machines pages 112 - 123
    Schölkopf and Smola: Learning with Kernels pages 227-247
    David MacKay: Information Theory, Inference, and Learning Algorithms pages 535 - 549