2990 search results - page 440 / 598 » Hidden Markov processes |
196
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PE
2010
Springer
15 years 4 months ago
2010
Springer
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
180
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PKDD
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
238
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PKDD
2010
Springer
15 years 4 months ago
2010
Springer
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
219
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QEST
2010
IEEE
15 years 4 months ago
2010
IEEE
We consider Markov Decision Processes (MDPs) as transformers on probability distributions, where with respect to a scheduler that resolves nondeterminism, the MDP can be seen as ex...
220
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ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
Human pose estimation is the task of determining the states (location, orientation and scale) of each body part. It is important for many vision understanding applications, e.g. v...