1880 search results - page 229 / 376 » Robust Learning - Rich and Poor |
205
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EC
2006
15 years 6 months ago
2006
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
163
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TNN
1998
15 years 6 months ago
1998
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
156
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Prior distributions are useful for robust low-level vision, and undirected models (e.g. Markov Random Fields) have become a central tool for this purpose. Though sometimes these p...
170
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
159
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CIG
2005
IEEE
16 years 1 days ago
2005
IEEE
This paper follows on from our previous work focused on formulating an efficient generic measure of user’s satisfaction (‘interest’) when playing predator/prey games. Viewin...