Graduate Student Colloquium
Jie Yang
UIC
Introduction to Statistical Learning
Abstract: This talk will start with several typical statistical learning
problems, including handwritten recognition, DNA microarray analysis, and
linear regression problem. Basic types of learning problems and relevant
terminology will be described. Two classical approaches, nearest neighbor
method and linear discriminant analysis, and their variants as well with
applications to supervised learning problems are introduced. To overcome
the curse of dimensionality, a newly developed statistical method based on
permanent process will be discussed.
Friday November 2, 2007 at 3:00 PM in SEO 636