my.harvard calendar reminder:
Event Information:
Date : 12/14/2006
Start Time : 04:00 PM
End Time : 05:00 PM
Title : A Geometric Perspective on Learning Theory and Algorithms (Partha Niyogi)
Description : Harvard University
Computer Science Colloquium Series
33 Oxford St., Cambridge, MA 02138
Colloquium
A Geometric Perspective on Learning Theory and Algorithms
Partha Niyogi
Computer Science and Statistics
The University of Chicago
http://www.cs.uchicago.edu/~niyogi
Thursday, December 14, 2006
4:00PM
Maxwell Dworkin G125
(Ice Cream at 3:30PM - Maxwell Dworkin 2nd Floor Lounge Area)
Abstract
Increasingly, we face machine learning problems in very high dimensional spaces. We
proceed with the intuition that although natural data lives in very high dimensions, they
have relatively few degrees of freedom. One way to formalize this intuition is to model
the data as lying on or near a low dimensional manifold embedded in the high dimensional
space. This point of view leads to a new class of algorithms that are "manifold
motivated" and a new set
of theoretical questions that surround their analysis. A central construction in these
algorithms is a graph or simplicial complex that is data-derived and we will relate the
geometry of these to the geometry of the underlying manifold. Applications to embedding,
clustering, classification, and semi-supervised learning will be considered.
Host: Professor Patrick Wolfe
Location : Maxwell Dworkin G125 (Ice Cream at 3:30PM - Maxwell Dworkin 2nd Floor Lounge
Area
URL :
Phone :
Calendar : Computer Science Colloquium Series
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