515 search results - page 38 / 103 » Approximating Markov Processes by Averaging |
100
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ICML
2001
IEEE
16 years 17 days ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
92
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WEBI
2010
Springer
14 years 9 months ago
2010
Springer
A user's cognitive style has been found to affect how they search for information, how they analyze the information, and how they make decisions in an analytical process. In ...
108
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ICIP
2004
IEEE
16 years 1 months ago
2004
IEEE
We present methods to obtain computationally efficient proposal distributions for Bayesian reversible jump Markov chain Monte Carlo (RJMCMC) based image segmentation. The slow con...
109
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CSDA
2010
14 years 12 months ago
2010
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
123
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PE
2011
Springer
14 years 6 months ago
2011
Springer
Structured QBDs by Abstraction Daniel Klink, Anne Remke, Boudewijn R. Haverkort, Fellow, IEEE, and Joost-Pieter Katoen, Member, IEEE Computer Society —This paper studies quantita...