Web Technology Mapping Persistent Classes Exam Study Material for Gate ECE

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Pattern Recognition (View More...)

Linear Discriminant functions for Multi-Class Case; Multi-Class Logistic Regression	lec19	42:38 to 44:19	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	lec31	02:14 to 04:23	PDF	VIDEO
Support Vector Machines Introduction, obtaining the optimal hyperplane	lec31	09:12 to 10:55	PDF	VIDEO
Support Vector Machines Introduction, obtaining the optimal hyperplane	lec32	01:08 to 02:14	PDF	VIDEO
Support Vector Machines Introduction, obtaining the optimal hyperplane	lec32	02:14 to 04:23	PDF	VIDEO
Support Vector Machines Introduction, obtaining the optimal hyperplane	lec32	09:12 to 10:55	PDF	VIDEO
SVM formulation with slack variables; non-linear SVM classifiers	lec33	46:52 to 50:33	PDF	VIDEO
Kernel Functions for non-linear SVMs; Mercer and positive definite Kernels	lec34	25:28 to 27:43	PDF	VIDEO
Support Vector Regression and E-insensitive Loss function, examples of SVM learning	lec35	01:55 to 04:17	PDF	VIDEO

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