Accession Number:

ADA604947

Title:

High Dimensional Learning

Descriptive Note:

Final rept. 1 Oct 2012-30 Jun 2013

Corporate Author:

CALIFORNIA UNIV IRVINE

Personal Author(s):

Report Date:

2013-08-27

Pagination or Media Count:

14.0

Abstract:

The problem of high dimensional learning is considered. Efficient methods are developed for learning latent variable models and graphical models in high dimensions. Theoretical guarantees are established for the developed methods. The methods are applied to various domains including social networks and computational biology.

Subject Categories:

  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE