We present an extension of the planning framework based on action graphs and local search to deal with PDDL2.1 temporal problems requiring concurrency, while previously the approa...
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
: This paper presents a systematic study of some major problems involved in the transformation of business process modelling languages to executable business process representation...
Wei Zhao, Rainer Hauser, Kamal Bhattacharya, Barre...
Abstract. This paper presents a Bayesian inference algorithm for image layer representation [26], 2.1D sketch [6], with mixed Markov random field. 2.1D sketch is an very important...
We associate one or two posets (which we call "semistandard posets") to any given irreducible representation of a rank two semisimple Lie algebra over C. Elsewhere we ha...
L. Wyatt Alverson II, Robert G. Donnelly, Scott J....