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AIPS
2010
14 years 4 days ago
Temporal Planning with Problems Requiring Concurrency through Action Graphs and Local Search
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...
Alfonso Gerevini, Alessandro Saetti, Ivan Serina
IJAR
2006
89views more  IJAR 2006»
13 years 9 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
IJWGS
2006
125views more  IJWGS 2006»
13 years 9 months ago
Compiling business processes: untangling unstructured loops in irreducible flow graphs
: 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...
EMMCVPR
2007
Springer
14 years 4 months ago
Bayesian Inference for Layer Representation with Mixed Markov Random Field
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...
Ru-Xin Gao, Tianfu Wu, Song Chun Zhu, Nong Sang
COMBINATORICS
2006
126views more  COMBINATORICS 2006»
13 years 9 months ago
Constructions of Representations of Rank Two Semisimple Lie Algebras with Distributive Lattices
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....