824 search results - page 53 / 165 » Learning probabilistic logic models from probabilistic examp... |
129
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CVPR
2006
IEEE
16 years 6 months ago
2006
IEEE
Many sources of information relevant to computer vision and machine learning tasks are often underused. One example is the similarity between the elements from a novel source, suc...
145
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CVPR
2004
IEEE
16 years 6 months ago
2004
IEEE
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
162
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COLING
2000
15 years 5 months ago
2000
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...
122
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
136
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AAMAS
2010
Springer
15 years 4 months ago
2010
Springer
During face-to-face interactions, listeners use backchannel feedback such as head nods as a signal to the speaker that the communication is working and that they should continue sp...