Date:  Monday, April 13, 2015
Location:  1866 East Hall (3:10 PM to 4:00 PM)

Title:  An Introduction to Support Vector Machines

Abstract:   Since their development by Vladimir N. Vapnik in the early 90s, Support Vector Machines (SVMs) have been widely used in various supervised learning tasks. Along with more general kernel methods, SVMs continue to be an active area of study in machine learning. In this talk we will discuss some of the new insights in statistics that opened the door to SVMs and other non-parametric learning algorithms, study the basic SVM classifiers and regression estimators, and present some results from using SVM methods for image classification.
Speaker:  Raymundo Navarrete