Hi,
Tomorrow we have a special Tea Talk at a special Time. A visitor,
Pardis Noorzad, will present some of his work with Prof. Bob L. Sturm.
Hope to see you there.
When: Tomorrow, Monday March 12th, 2012
Where: TBA
"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.
Cheers,
Aaron
--
Aaron C. Courville
Département d’Informatique et
de recherche opérationnelle
Université de Montréal
email:Aaron.Courville@gmail.com