The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
Power consumption has become a major constraint in the design of processors today. To optimize a processor for energyefficiency requires an examination of energy-performance trade...
Omid Azizi, Aqeel Mahesri, Benjamin C. Lee, Sanjay...
In this paper, we study the problems of resource and performance management in channelized wireless networks. For identifying research issues systematically, we propose a research...
Structured peer-to-peer hash tables provide decentralization, self-organization, failure-resilience, and good worst-case lookup performance for applications, but suffer from high ...
In this paper we present a novel framework for evolving ART-based classification models, which we refer to as MOME-ART. The new training framework aims to evolve populations of ART...
Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem K...