One problem faced in knowledge engineering for Bayesian networks is the exponential growth of the number of parameters in their conditional probability tables (CPTs). The most comm...
In recent years, there has been a growing interest in the study of particle swarm optimization (PSO) in dynamic environments. This paper presents a new PSO model, called PSO with c...
Abstract. The hydrophobic-polar (HP) model for protein structure preabstracts the fact that hydrophobic interactions are a dominant force in the protein folding process. This model...
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregor...
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
The topological properties of a network directly impact the flow of information through a system. In evolving populations, the topology of inter-individual interactions affects th...