824 search results - page 70 / 165 » Learning probabilistic logic models from probabilistic examp... |
137
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ATAL
2010
Springer
15 years 5 months ago
2010
Springer
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
138
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EMNLP
2006
15 years 5 months ago
2006
Named-entity recognition systems extract entities such as people, organizations, and locations from unstructured text. Rather than extract these mentions in isolation, this paper ...
141
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ECCV
2008
Springer
15 years 5 months ago
2008
Springer
Abstract. We address the problem of visual event recognition in surveillance where noise and missing observations are serious problems. Common sense domain knowledge is exploited t...
166
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CVPR
2011
IEEE
15 years 10 days ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
127
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GECCO
2005
Springer
15 years 9 months ago
2005
Springer
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...