The term neural network evolution usually refers to network topology evolution leaving the network's parameters to be trained using conventional algorithms. In this paper we ...
Ioannis G. Tsoulos, Dimitris Gavrilis, Euripidis G...
—With the arrival of nanometer technologies wire delays are no longer negligible with respect to gate delays, and timing-closure becomes a major challenge to System-on-Chip desig...
Cheng-Hong Li, Rebecca L. Collins, Sampada Sonalka...
With billions of assertions and counting, the Web of Data represents the largest multi-contributor interlinked knowledge base that ever existed. We present a novel framework for a...
The paper deals with optimization of collective communications on multistage interconnection networks (MINs). In the experimental work, unidirectional MINs like Omega, Butterfly a...
This paper describes a new environment, COE, for capturing and formally representing expert knowledge for use in the Semantic Web. COE exploits the ease of use and rapid knowledge...
Patrick J. Hayes, Thomas C. Eskridge, Raul Saavedr...