8 search results - page 1 / 2 » On the estimation of a large sparse Bayesian system: The Sna... |
92
Voted
CSDA
2008
15 years 5 months ago
2008
151
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IJCAI
2007
15 years 6 months ago
2007
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
163
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TSP
2010
14 years 11 months ago
2010
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
156
Voted
CVPR
2004
IEEE
16 years 7 months ago
2004
IEEE
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
153
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NIPS
2007
15 years 6 months ago
2007
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...