1120 search results - page 153 / 224 » Eager Markov Chains |
107
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UAI
2004
15 years 1 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
111
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ICML
2010
IEEE
15 years 28 days ago
2010
IEEE
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...
CORR
2008
Springer
14 years 12 months ago
2008
Springer
The TCP window size process appears in the modeling of the famous Transmission Control Protocol used for data transmission over the Internet. This continuous time Markov process t...
PR
2002
14 years 11 months ago
2002
The satellite image deconvolution problem is ill-posed and must be regularized. Herein, we use an edge-preserving regularization model using a ' function, involving two hyper...
PE
2007
Springer
14 years 11 months ago
2007
Springer
This paper develops time-based rejuvenation policies to improve the performability measures of a cluster system. Three rejuvenation policies, namely standard rejuvenation, delayed...