449 search results - page 35 / 90 » Finding Structure in Reinforcement Learning |
124
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
132
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ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
119
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
The goal of this paper is to find sparse and representative spatial priors that can be applied to part-based object localization. Assuming a GMRF prior over part configurations, w...
173
Voted
JMLR
2010
14 years 10 months ago
2010
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
208
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ACCV
2010
Springer
14 years 10 months ago
2010
Springer
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...