On Sun, Mar 11, 2012 at 9:24 PM, Guillaume Desjardins <guillaume.desjardins@gmail.com> wrote:

Pardis Noorzad will be giving an mPrime talk tomorrow (Monday, March 12th) at 15h00. The talk will tentatively be held in AA3195, of the Pavillon Andre-Aisenstadt at the Université de Montréal. An email will be sent tomorrow morning should there be a change in location. Hope to see you there !

When: Tomorrow, Monday March 12th, 2012
Where: AA3195

Title: "SPARROW: Sparse approximation weighted regression"

Abstract:
We propose sparse approximation weighted regression (SPARROW), which
is a nonparametric method of regression that takes advantage of the
sparse linear approximation of a query point. SPARROW employs weights
based on sparse approximation in the context of locally constant,
locally linear, and locally quadratic regression to generate better
estimates than for e.g., k-nearest neighbor regression and more
generally, kernel-weighted local polynomial regression. Our
experimental results show that SPARROW performs competitively.

This is joint work with Prof. Bob L. Sturm.