605 search results - page 49 / 121 » Markov Models for Biogeography-Based Optimization |
121
Voted
DMSN
2008
ACM
15 years 5 months ago
2008
ACM
When dealing with sensors with different time resolutions, it is desirable to model a sensor reading as pertaining to a time interval rather than a unit of time. We introduce two ...
126
Voted
ISCAS
2007
IEEE
15 years 9 months ago
2007
IEEE
—Two probabilistic-based models, namely the Ensemble-Dependent Matrix model [1][3] and the Markov Random Field model [2], have been proposed to deal with faults in nanoscale syst...
133
Voted
CIA
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
130
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
107
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AAAI
1994
15 years 4 months ago
1994
In this paper, we describe the partially observable Markov decision process pomdp approach to nding optimal or near-optimal control strategies for partially observable stochastic ...