Abstract. We address a fundamental mismatch between the combinations of dynamics that occur in complex physical systems and the limited kinds of dynamics supported in analysis. Mod...
Many scholars believe that electronic rulemaking has great but largely untapped potential to expand the public's democratic input and improve federal agency regulatory rules....
Peter Muhlberger, Nick Webb, Jennifer Stromer-Gall...
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...