1474 search results - page 99 / 295 » Using Machine Learning to Focus Iterative Optimization |
127
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
148
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ML
2012
ACM
13 years 10 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
192
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IWCLS
2007
Springer
15 years 9 months ago
2007
Springer
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
157
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JMLR
2012
13 years 5 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
136
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EDBTW
2010
Springer
15 years 1 months ago
2010
Springer
Due to the growing importance of the World Wide Web, archiving it has become crucial for preserving useful source of information. To maintain a web archive up-to-date, crawlers ha...