lecture20 (1)

lecture20 (1) - various loss functions. We conclude with a...

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Lecture 20: Bayesian Interpretations Tomaso Poggio, Sayan Mukherjee Description This class focuses on a Bayesian interpretation of regularization, both in the case of the quadratic loss function and in the case of the SVM loss function. We discuss a Bayesian interpretation of the regularizer and of the
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Unformatted text preview: various loss functions. We conclude with a critical discussion of techniques for synthesizing or selecting the kernel from a certain ensemble of data. Suggested Reading • Evgeniou, Pontil, and Poggio. Regularization Networks and Support Vector Machines. Advances in Computational Mathematics, 2000....
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This note was uploaded on 11/11/2011 for the course BIO 9.07 taught by Professor Ruthrosenholtz during the Spring '04 term at MIT.

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