Wireless Networks Support Node Exam Study Material for Gate ECE

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SVM formulation with slack variables; non-linear SVM classifiers	lec33	08:13 to 11:57	PDF	VIDEO
Kernel Functions for non-linear SVMs; Mercer and positive definite Kernels	lec34	39:53 to 43:01	PDF	VIDEO
Support Vector Regression and E-insensitive Loss function, examples of SVM learning	lec35	20:19 to 24:40	PDF	VIDEO
Support Vector Regression and E-insensitive Loss function, examples of SVM learning	lec35	28:13 to 30:13	PDF	VIDEO
Overview of SMO and other algorithms for SVM; v-SVM and v-SVR; SVM as a risk minimizer	lec36	14:32 to 18:55	PDF	VIDEO