Pattern Recognition

Sastry, P. S.

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 ;

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National Programme on Technology Enhanced Learning (NPTEL)

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