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Mod-09 Lec-34 Support Vector Regression and ?-insensitive Loss function, examples of SVM learning
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Mod-09 Lec-35 Overview of SMO and other algorithms for SVM; ?-SVM and ?-SVR; SVM as a risk minimizer
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Mod-09 Lec-36 Positive Definite Kernels; RKHS; Representer Theorem
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