515 search results - page 23 / 103 » Approximating Markov Processes by Averaging |
145
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
In this paper we present Poisson sum series representations for α-stable (αS) random variables and α-stable processes, in particular concentrating on continuous-time autoregres...
AMAI
2006
Springer
14 years 11 months ago
2006
Springer
A weakness of classical Markov decision processes (MDPs) is that they scale very poorly due to the flat state-space representation. Factored MDPs address this representational pro...
NIPS
2004
15 years 1 months ago
2004
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
122
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ICIP
2008
IEEE
16 years 1 months ago
2008
IEEE
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
102
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JMLR
2011
14 years 6 months ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...