2914 search results - page 233 / 583 » Learning and Inference with Constraints |
201
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BMCBI
2008
15 years 6 months ago
2008
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
198
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DIS
2009
Springer
16 years 1 months ago
2009
Springer
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
207
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PASTE
2010
ACM
15 years 11 months ago
2010
ACM
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
257
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CSL
2012
Springer
14 years 2 months ago
2012
Springer
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
191
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
We consider the problem of estimating detailed 3-d structure from a single still image of an unstructured environment. Our goal is to create 3-d models which are both quantitative...