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PKDD
2009
Springer
136views Data Mining» more  PKDD 2009»
15 years 4 months ago
Integrating Logical Reasoning and Probabilistic Chain Graphs
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...
Arjen Hommersom, Nivea de Carvalho Ferreira, Peter...
CORR
2008
Springer
89views Education» more  CORR 2008»
14 years 10 months ago
Flow Faster: Efficient Decision Algorithms for Probabilistic Simulations
Strong and weak simulation relations have been proposed for Markov chains, while strong simulation and strong probabilistic simulation relations have been proposed for probabilisti...
Lijun Zhang, Holger Hermanns, Friedrich Eisenbrand...
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
15 years 4 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
103
Voted
KI
2007
Springer
15 years 4 months ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
ICPR
2002
IEEE
15 years 11 months ago
Probabilistic Model-Based Detection of Bent-Double Radio Galaxies
We describe an application of probabilistic modeling to the problem of recognizing radio galaxies with a bentdouble morphology. The type of galaxies in question contain distinctiv...
Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Ch...