In this paper, we present the evolution of adaptive resonance theory (ART) neural network architectures (classifiers) using a multiobjective optimization approach. In particular, w...
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mo...
Abstract This paper depicts and evaluates an evolutionary design process for generating a complex self-organizing multicellular system based on Cellular Automata (CA). We extend th...
Abstract-- Most current information extraction (IE) approaches have considered only static text corpora, over which we typically have to apply IE only once. Many real-world text co...
Fei Chen 0002, AnHai Doan, Jun Yang 0001, Raghu Ra...
Executable models are increasingly being employed by development teams to implement robust software systems. Modern executable models offer powerful composition mechanisms that al...
Despite numerous proposals for its creation, the semantic web has yet to achieve widespread adoption. Recently, some researchers have argued that participation in the semantic web...
Luke McDowell, Oren Etzioni, Steven D. Gribble, Al...