2597 search results - page 291 / 520 » Learning Sunspot Classification |
125
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
142
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
147
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
167
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CVPR
2009
IEEE
15 years 11 months ago
2009
IEEE
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
147
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...