Pattern Recognition

By
Sastry, P. S.
(2014-02)

Modules / Lectures : Overview of Pattern classification and regression ; Bayesian decision making and Bayes Classifier ; Parametric Estimation of Densities ; Mixture Densities and EM Algorithm ; Nonparametric density estimation ; Linear models for classification and regression ; Overview of statistical learning theory, Empirical Risk Minimization and VC-Dimension ; Artificial Neural Networks for Classification and regression ; Support Vector Machines and Kernel based methods ; Feature Selection, Model assessment and cross-validation ; Boosting and Classifier ensembles ;

Published by:

National Programme on Technology Enhanced Learning (NPTEL)

DOER Persistent Identifier: http://doer.col.org/handle//123456789/3835