2990 search results - page 377 / 598 » Hidden Markov processes |
166
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VISAPP
2007
15 years 7 months ago
2007
We consider the problem of image deconvolution. We foccus on a Bayesian approach which consists of maximizing an energy obtained by a Markov Random Field modeling. MRFs are classi...
165
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
Markov decision processes (MDPs) are widely used for modeling decision-making problems in robotics, automated control, and economics. Traditional MDPs assume that the decision mak...
164
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FUIN
2002
15 years 6 months ago
2002
Abstract. This article introduces probabilistic cluster branching processes, a probabilistic unfolding semantics for untimed Petri nets, with no structural or safety assumptions, g...
168
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ML
2002
ACM
15 years 6 months ago
2002
ACM
We present new algorithms for reinforcement learning, and prove that they have polynomial bounds on the resources required to achieve near-optimal return in general Markov decisio...
200
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...