Overview Of Statistical Learning Theory; Empirical Risk Minimization Exam Study Material for Gate ECE

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Signal Distortion III	lec10	00:59 to 03:10	PDF	VIDEO
Signal Distortion III	lec10	06:18 to 18:15	PDF	VIDEO
Signal Distortion III	lec10	30:11 to 34:39	PDF	VIDEO
Signal Distortion III	lec10	48:21 to upto	PDF	VIDEO
Practical issues in Implementation of Fiber Link	lec11	24:42 to 30:44	PDF	VIDEO
Basics of Light	lec2	08:41 to 20:37	PDF	VIDEO
Laboratory Experiment - 1	lec39	03:47 to upto	PDF	VIDEO
Laboratory Experiment 2	lec40	00:42 to 42:52	PDF	VIDEO
Signal Distortion I	lec8	09:14 to 13:56	PDF	VIDEO
Signal Distortion II	lec9	52:51 to upto	PDF	VIDEO

Overview of Statistical Learning Theory; Empirical Risk Minimization	lec21	42:57 to 44:11	PDF	VIDEO
Overview of Statistical Learning Theory; Empirical Risk Minimization	lec21	45:51 to 47:35	PDF	VIDEO
Support Vector Regression and E-insensitive Loss function, examples of SVM learning	lec35	08:17 to 09:19	PDF	VIDEO
Support Vector Regression and E-insensitive Loss function, examples of SVM learning	lec35	09:19 to 11:14	PDF	VIDEO
Support Vector Regression and E-insensitive Loss function, examples of SVM learning	lec35	11:14 to 12:03	PDF	VIDEO
Support Vector Regression and E-insensitive Loss function, examples of SVM learning	lec35	28:13 to 30:13	PDF	VIDEO
Support Vector Regression and E-insensitive Loss function, examples of SVM learning	lec35	30:13 to 31:40	PDF	VIDEO
Overview of SMO and other algorithms for SVM; v-SVM and v-SVR; SVM as a risk minimizer	lec36	52:50 to 54:11	PDF	VIDEO
Overview of SMO and other algorithms for SVM; v-SVM and v-SVR; SVM as a risk minimizer	lec36	55:56 to 57:10	PDF	VIDEO
Risk minimization view of AdaBoost	lec42	21:10 to 22:57	PDF	VIDEO