lecture04

lecture04 - Historical Approaches in Machine Learning. MIT...

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
Lecture 04: Regression and Least-Squares Classification 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. Suggested Reading Rifkin. Everything Old Is New Again: A Fresh Look at
Background image of page 1
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Historical Approaches in Machine Learning. MIT Ph.D. Thesis, 2002. Evgeniou, Pontil and Poggio. Regularization Networks and Support Vector Machines Advances in Computational Mathematics, 2000. V. N. Vapnik. The Nature of Statistical Learning Theory. Springer, 1995....
View Full Document

This note was uploaded on 11/11/2011 for the course BIO 9.07 taught by Professor Ruthrosenholtz during the Spring '04 term at MIT.

Ask a homework question - tutors are online