Abstract. Computational inference of transcriptional regulatory networks remains a challenging problem, in part due to the lack of strong network models. In this paper we present e...
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Abstract—In this paper we illustrate scalable parallel performance for the Time Warp synchronization protocol on the L and P variants of the IBM Blue Gene supercomputer. Scalable...
David W. Bauer, Christopher D. Carothers, Akintayo...
For modeling and analyzing regulatory networks based on qualitative information and possibly additional temporal constraints, approaches using hybrid automata can be very helpful. ...
In this paper we propose an OWL encoded context ontology (CONON) for modeling context in pervasive computing environments, and for supporting logicbased context reasoning. CONON p...
Xiaohang Wang, Daqing Zhang, Tao Gu, Hung Keng Pun...