174 search results - page 9 / 35 » A Conditional Random Field for Multiple-Instance Learning |
121
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NIPS
2004
15 years 3 months ago
2004
We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...
123
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EMNLP
2009
14 years 11 months ago
2009
Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work generalizes the use of VE to...
163
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IJCNLP
2005
Springer
15 years 7 months ago
2005
Springer
We present a method of chunking in Korean texts using conditional random fields (CRFs), a recently introduced probabilistic model for labeling and segmenting sequence of data. In a...
118
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CVPR
2004
IEEE
16 years 3 months ago
2004
IEEE
We propose an approach to include contextual features for labeling images, in which each pixel is assigned to one of a finite set of labels. The features are incorporated into a p...
112
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IJCAI
2007
15 years 3 months ago
2007
While conditional random fields (CRFs) have been applied successfully in a variety of domains, their training remains a challenging task. In this paper, we introduce a novel trai...