202 search results - page 15 / 41 » A Differential Approach to Inference in Bayesian Networks |
JMLR
2010
13 years 3 months ago
2010
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
NIPS
2007
13 years 10 months ago
2007
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
UAI
1997
13 years 10 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...
ICTAI
2006
IEEE
14 years 2 months ago
2006
IEEE
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...