Lectures |
Lectures
Subpages (12):
Classification with Normal Densities
Ellipses, Gaussians, Convariances
Introduction
Invariances, PCA
Kernel Density Estimation
kNN Methods
Multilayer Perceptrons
Nearest Neighbor Classification
Parameter Estimation
PCA, Statistical Foundations
Perceptrons and Logistic Regression
Support Vector Machines
Comments