1512 search results - page 60 / 303 » Inference Algorithms for Similarity Networks |
137
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UAI
2008
15 years 4 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
137
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JMLR
2010
14 years 10 months ago
2010
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
143
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AAAI
2010
15 years 4 months ago
2010
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
124
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CDC
2009
IEEE
15 years 7 months ago
2009
IEEE
—Designing efficient scheduling algorithms is an important problem in a general class of networks with resourcesharing constraints, such as wireless networks and stochastic proc...
142
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AIIA
2003
Springer
15 years 8 months ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...