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.- Rifkin, R.,. and R.A. Lippert.Notes on Regularized Least-Squares, CBCL Paper #268/AI Technical Report #2007-019, Massachusetts Institute of Technology, Cambridge, MA, May, 2007.