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» Optimal Causal Inference
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FLAIRS
2009
13 years 6 months ago
Constraint-based Approach to Discovery of Inter Module Dependencies in Modular Bayesian Networks
This paper introduces an information theoretic approach to verification of modular causal probabilistic models. We assume systems which are gradually extended by adding new functi...
Patrick de Oude, Gregor Pavlin
IPPS
1999
IEEE
14 years 23 days ago
Relaxing Causal Constraints in PDES
One of the major overheads that prohibits the wide spread deployment of parallel discrete event simulation PDES is the need to synchronize the distributed processes in the simulat...
Narayanan V. Thondugulam, Dhananjai Madhava Rao, R...
UAI
2004
13 years 9 months ago
Bayesian Biosurveillance of Disease Outbreaks
Early, reliable detection of disease outbreaks is a critical problem today. This paper reports an investigation of the use of causal Bayesian networks to model spatio-temporal pat...
Gregory F. Cooper, Denver Dash, John Levander, Wen...
JMLR
2006
190views more  JMLR 2006»
13 years 8 months ago
Causal Graph Based Decomposition of Factored MDPs
We present Variable Influence Structure Analysis, or VISA, an algorithm that performs hierarchical decomposition of factored Markov decision processes. VISA uses a dynamic Bayesia...
Anders Jonsson, Andrew G. Barto
ATAL
2011
Springer
12 years 8 months ago
Maximum causal entropy correlated equilibria for Markov games
Motivated by a machine learning perspective—that gametheoretic equilibria constraints should serve as guidelines for predicting agents’ strategies, we introduce maximum causal...
Brian D. Ziebart, J. Andrew Bagnell, Anind K. Dey