8970 search results - page 147 / 1794 » Learning to Learn Causal Models |
149
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NAACL
2010
15 years 2 months ago
2010
Most learning algorithms for undirected graphical models require complete inference over at least one instance before parameter updates can be made. SampleRank is a rankbased lear...
153
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ECTEL
2006
Springer
15 years 8 months ago
2006
Springer
In this work informal learning theories and practices and social networking features are taken as starting points to build a reference collaboration model to support collaborative ...
118
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PAMI
2008
15 years 4 months ago
2008
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
116
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
157
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CVPR
2005
IEEE
15 years 10 months ago
2005
IEEE
Here we explore a discriminative learning method on underlying generative models for the purpose of discriminating between object categories. Visual recognition algorithms learn m...