The Factored Frontier Algorithm for Approximate Inference in DBNs

Factorial hidden Markov models and the generalized backfitting algorithm

Neural Computation

Bayesian inference of visual motion boundaries

Exploring artificial intelligence in the new millennium

Dynamic multiagent probabilistic inference

International Journal of Approximate Reasoning

Modeling time-varying uncertain situations using Dynamic Influence Nets

International Journal of Approximate Reasoning

Approximate inference for planning in stochastic relational worlds

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

Probabilistic Approximations of Signaling Pathway Dynamics

CMSB '09 Proceedings of the 7th International Conference on Computational Methods in Systems Biology

Counting belief propagation

UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence

Detecting and discriminating behavioural anomalies

Pattern Recognition

Efficient planning in large POMDPs through policy graph based factorized approximations

ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III

SEMARTCam scheduler: semantics driven real-time data collection from indoor camera networks to maximize event detection

Journal of Real-Time Image Processing

Planning with noisy probabilistic relational rules

Journal of Artificial Intelligence Research

Probabilistic approximations of ODEs based bio-pathway dynamics

Theoretical Computer Science

A hybrid factored frontier algorithm for dynamic Bayesian network models of biopathways

Proceedings of the 9th International Conference on Computational Methods in Systems Biology

Expectation propagation for approximate inference in dynamic bayesian networks

UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence