824 search results - page 29 / 165 » Learning probabilistic logic models from probabilistic examp... |
102
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CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
ICML
2007
IEEE
16 years 15 days ago
2007
IEEE
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
DNA
2005
Springer
15 years 5 months ago
2005
Springer
We introduce a class of generalized DNF formulae called wDNF or weighted disjunctive normal form, and present a molecular algorithm that learns a wDNF formula from training example...
102
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IJCV
2002
14 years 11 months ago
2002
Abstract. A new, exemplar-based, probabilistic paradigm for visual tracking is presented. Probabilistic mechanisms are attractive because they handle fusion of information, especia...
106
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IJAR
2010
14 years 10 months ago
2010
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...