Ryan Rifkin

## Description

We introduce Regularized Least Squares regression and classification. We then introduce SVMs for classification and regression. All the above are instances of Tikhonov regularization.## Slides

Slides for this lecture: PDF## Suggested Reading

- Rifkin.
Everything Old Is New Again: A Fresh Look at Historical Approaches in Machine Learning.MIT Ph.D. Thesis, 2002.- Evgeniou, Pontil and Poggio.
Regularization Networks and Support Vector MachinesAdvances in Computational Mathematics, 2000.- V. N. Vapnik.
The Nature of Statistical Learning Theory.Springer, 1995.