In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
The Bayesian Aerosol Release Detector (BARD) is a biosurveillance system for detecting and characterizing disease outbreaks caused by aerosol releases of anthrax. A major challenge...
Aurel Cami, Garrick L. Wallstrom, William R. Hogan
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Abstract. Real life scheduling problems are solved by heuristics with parameters defined by experts, as usual. In this paper a new approach is proposed where the parameters of vari...
phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...