702 search results - page 55 / 141 » Learning Probabilistic Models of Relational Structure |
119
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ECAI
2000
Springer
15 years 4 months ago
2000
Springer
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
111
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CORR
2012
Springer
13 years 8 months ago
2012
Springer
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
113
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ISBI
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper we present a learning based method for vessel segmentation in angiographic videos. Vessel Segmentation is an important task in medical imaging and has been investiga...
101
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ICDM
2007
IEEE
15 years 6 months ago
2007
IEEE
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
108
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AIPS
2007
15 years 2 months ago
2007
Most traditional approaches to probabilistic planning in relationally specified MDPs rely on grounding the problem w.r.t. specific domain instantiations, thereby incurring a com...