The goal of this course it to discuss some advanced machine learning
techniques. Recently several new methods originated from statistical
learning theory have been proposed. We will especially concentrate on
the support vector machines (SVM), a very promising classification
technique for pattern recognition.

Topics include:

Linear support vector machines

Optimization Theory

Nonlinear support vector machines

Positive definite functions

Generalized performance of pattern recognition

Decomposition methods

Support vector regression

Applications