Soft Computing Feature Maps Exam Study Material for Gate ECE

Karnaugh Maps and Implicants	lec6	13:16 to 17:25	PDF	VIDEO
Karnaugh Maps and Implicants	lec6	24:57 to 28:47	PDF	VIDEO
Karnaugh Maps and Implicants	lec6	39:46 to 47:54	PDF	VIDEO
Logic Minimization using Karnaugh Maps	lec7	13:39 to 17:34	PDF	VIDEO
Logic Minimization using Karnaugh Maps	lec7	34:58 to 38:34	PDF	VIDEO
Logic Minimization using Karnaugh Maps	lec7	41:09 to 44:22	PDF	VIDEO
Karnaugh Map Minimization using Maxterms	lec8	14:49 to 19:29	PDF	VIDEO
Karnaugh Map Minimization using Maxterms	lec8	24:04 to 29:50	PDF	VIDEO
Karnaugh Map Minimization using Maxterms	lec8	43:44 to upto	PDF	VIDEO
Karnaugh Map Minimization using Maxterms	lec8	6:48 to 10:33	PDF	VIDEO

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Introduction to Statistical Pattern Recognition	lec1	03:38 to 04:53	PDF	VIDEO
Introduction to Statistical Pattern Recognition	lec1	10:02 to 11:27	PDF	VIDEO
Introduction to Statistical Pattern Recognition	lec1	11:27 to 13:24	PDF	VIDEO
Overview of Pattern Classifiers	lec2	02:59 to 03:48	PDF	VIDEO
Consistency of Empirical Risk Minimization	lec22	01:40 to 05:31	PDF	VIDEO
Support Vector Machines Introduction, obtaining the optimal hyperplane	lec31	01:08 to 02:14	PDF	VIDEO
Support Vector Machines Introduction, obtaining the optimal hyperplane	lec32	01:08 to 02:14	PDF	VIDEO
Positive Definite kernels; RKHS; Representer Theorem	lec37	05:38 to 06:30	PDF	VIDEO
Feature Selection and Dimensionality Reduction; Principal Component Analysis	lec38	01:54 to 04:07	PDF	VIDEO
Feature Selection and Dimensionality Reduction; Principal Component Analysis	lec38	07:58 to 10:42	PDF	VIDEO