3050 search results - page 282 / 610 » On-line Algorithms in Machine Learning |
145
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
135
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
149
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ECML
2006
Springer
15 years 8 months ago
2006
Springer
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
135
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COLT
2008
Springer
15 years 6 months ago
2008
Springer
We define a model of learning probabilistic acyclic circuits using value injection queries, in which an arbitrary subset of wires is set to fixed values, and the value on the sing...
166
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...