We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
Abstract. In this paper, we propose new adaptive local refinement (ALR) strategies for firstorder system least-squares (FOSLS) finite element in conjunction with algebraic multi...
J. H. Adler, Thomas A. Manteuffel, Stephen F. McCo...
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Service address routing is introduced as a novel and powerful paradigm for the integration of resource management functions into the interconnection fabric of cluster computers. S...
Isaac D. Scherson, Daniel S. Valencia, Enrique Cau...
—We describe the development of a set of embedded system building blocks, known as eBlocks. An eBlock network can be viewed as a basic form of sensor network that can be develope...
Susan Cotterell, Ryan Mannion, Frank Vahid, Harry ...