16404 search results - page 2458 / 3281 » A set coverage problem |
224
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ICML
2009
IEEE
16 years 8 months ago
2009
IEEE
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
217
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ICML
2009
IEEE
16 years 8 months ago
2009
IEEE
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
175
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ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
232
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ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
208
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ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...