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» Inference in Bayesian Networks
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FLAIRS
2003
15 years 6 months ago
Automated Data Fusion and Situation Assessment in Space Systems
Spacecraft are key components of military operations and everyday life. To achieve space situation awareness, human operators must monitor large numbers of parameters. During off-...
Mark L. Hanson, Paul G. Gonsalves
125
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UAI
2001
15 years 6 months ago
Learning the Dimensionality of Hidden Variables
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Dete...
Gal Elidan, Nir Friedman
IJCAI
1997
15 years 6 months ago
A Symmetric View of Utilities and Probabilities
Motivated by the need to reason about utilities, and inspired by the success of bayesian networks in representing and reasoning about probabilities, we introduce the notion of uti...
Yoav Shoham
128
Voted
NIPS
1997
15 years 6 months ago
Generalized Prioritized Sweeping
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
David Andre, Nir Friedman, Ronald Parr
UAI
1997
15 years 6 months ago
Correlated Action Effects in Decision Theoretic Regression
Much recent research in decision theoretic planning has adopted Markov decision processes (MDPs) as the model of choice, and has attempted to make their solution more tractable by...
Craig Boutilier