video material
· 11 Topic
· Total Page 43
Uploaded 2 years ago
Overview Of Pattern Classification And Regression
2
Bayesian Decision Making And Bayes Classifier
3
Parametric Estimation Of Densities
4
Mixture Densities And Em Algorithm
5
Nonparametric Density Estimation
6
Linear Models For Classification And Regression
7
Overview Of Statistical Learning Theory Empirical Risk Minimization And Vcdimension
8
Artificial Neural Networks For Classification And Regression
9
Support Vector Machines And Kernel Based Methods
10
Feature Selection Model Assessment And Crossvalidation
11