Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Abstract—In this paper, we investigate the problem of maximizing the throughput over a finite-horizon time period for a sensor network with energy replenishment. The finite-horiz...
Shengbo Chen, Prasun Sinha, Ness B. Shroff, Changh...
Motivation: Analysis and intervention in the dynamics of gene regulatory networks is at the heart of emerging efforts in the development of modern treatment of numerous ailments i...
Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld
In this paper, we focus on methodology of finding a classifier with a minimal cost in presence of additional performance constraints. ROCCH analysis, where accuracy and cost are i...
—In this paper we consider the Airspace Sectorization Problem (ASP) where airspace has to be partitioned into a number of sectors, each sector being assigned to a team of air tra...