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lecture04 - Historical Approaches in Machine Learning MIT...

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Lecture 04: Regression and Least-Squares Classification Ryan Rifkin Description We introduce Regularized Least Squares regression and classification. We then introduce SVMs for classification and regression. All the above are instances of Tikhonov regularization. Suggested Reading Rifkin. Everything Old Is New Again: A Fresh Look at
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Unformatted text preview: Historical Approaches in Machine Learning. MIT Ph.D. Thesis, 2002. • Evgeniou, Pontil and Poggio. Regularization Networks and Support Vector Machines Advances in Computational Mathematics, 2000. • V. N. Vapnik. The Nature of Statistical Learning Theory. Springer, 1995....
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