UAI
2000
13 years 6 months ago
2000
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
UAI
2000
13 years 6 months ago
2000
Monitoring plan preconditions can allow for replanning when a precondition fails, generally far in advance of the point in the plan where the precondition is relevant. However, mo...
UAI
2000
13 years 6 months ago
2000
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
UAI
2000
13 years 6 months ago
2000
In this work, dynamic Bayesian multinets are introduced where a Markov chain state at time
UAI
2000
13 years 6 months ago
2000
We consider decentralized control of Markov decision processes and give complexity bounds on the worst-case running time for algorithms that find optimal solutions. Generalization...