## Slides with most views in advanced algorithms

# Statistical Learning Theory - Introduction to Pattern Recognition - Lecture Slides

The main points are:Statistical Learning Theory, Pattern Classification Algorithms, Risk Minimization Framework, Linear Models, Perceptron Algorithm, Augumented Feature Vectors, Simplicity of Notation, Squared-Error Loss Function

# Neural Network Models - Introduction to Pattern Recognition - Lecture Slides

The main points are:Nonlinear Functions, Continuous Function, Radial Basis Functio, 3-Layer Feedforward Network, Output of Network, Parameter Vector, Techniques for Interpolation, Linear Equations, Perfect Interpolation Property

# Nonlinear Functions - Introduction to Pattern Recognition - Lecture Slides

The main points are:Nonlinear Functions, Continuous Function, Radial Basis Functio, 3-Layer Feedforward Network, Output of Network, Parameter Vector, Techniques for Interpolation, Linear Equations, Perfect Interpolation Property