Pattern Recognition - Page 12

Topic

Mod-09 Lec-34 Support Vector Regression and ?-insensitive Loss function, examples of SVM learning

Lecture

Notes

Topic

Mod-09 Lec-35 Overview of SMO and other algorithms for SVM; ?-SVM and ?-SVR; SVM as a risk minimizer

Lecture

Notes

Topic

Mod-09 Lec-36 Positive Definite Kernels; RKHS; Representer Theorem

Lecture

Notes

Bookmarks

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