Compiling Relational Bayesian Networks for Exact Inference

Manfred Jaeger, Mark Chavira, Adnan Darwiche

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Abstrakt

We describe a system for exact inference with relational Bayesian networks as defined in the publicly available \primula\ tool. The system is based on compiling propositional instances of relational Bayesian networks into arithmetic circuits and then performing online inference by evaluating and differentiating these circuits in time linear in their size. We report on experimental results showing the successful compilation, and efficient inference, on relational Bayesian networks whose {\primula}--generated propositional instances have thousands of variables, and whose jointrees have clusters with hundreds of variables.
OriginalsprogEngelsk
TitelProceedings of the Second European Workshop on Probabilistic Graphical Models
RedaktørerP. Lucas (Editor)
Publikationsdato2004
StatusUdgivet - 2004
BegivenhedSECOND EUROPEAN WORKSHOP ON  PROBABILISTIC GRAPHICALMODELS 2004 (PGM'04) - Leiden, Holland
Varighed: 4 okt. 20048 okt. 2004
Konferencens nummer: 2

Konference

KonferenceSECOND EUROPEAN WORKSHOP ON  PROBABILISTIC GRAPHICALMODELS 2004 (PGM'04)
Nummer2
LandHolland
ByLeiden
Periode04/10/200408/10/2004

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