1845 search results - page 185 / 369 » Machine-Learning Applications of Algorithmic Randomness |
113
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PROMISE
2010
14 years 8 months ago
2010
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
147
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CORR
2010
Springer
15 years 1 months ago
2010
Springer
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
121
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KDD
2009
ACM
16 years 2 months ago
2009
ACM
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
164
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CVPR
2009
IEEE
16 years 1 days ago
2009
IEEE
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
109
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ICIP
2005
IEEE
16 years 3 months ago
2005
IEEE
This paper presents a probabilistic framework for off-line multiple object tracking. At each timestep, a small set of deterministic candidates is generated which is guaranteed to ...