2868 search results - page 28 / 574 » Inference in Bayesian Networks |
124
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UAI
1997
15 years 3 months ago
1997
Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
111
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FLAIRS
2009
14 years 11 months ago
2009
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...
118
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IJCNN
2007
IEEE
15 years 8 months ago
2007
IEEE
— This work addresses the problem of selecting a subset of basis functions for a model linear in the parameters for regression tasks. Basis functions from a set of candidates are...
141
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JMLR
2010
14 years 8 months ago
2010
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
126
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AAAI
2008
15 years 4 months ago
2008
Previous studies have demonstrated that encoding a Bayesian network into a SAT-CNF formula and then performing weighted model counting using a backtracking search algorithm can be...