5463 search results - page 282 / 1093 » Evaluating algorithms that learn from data streams |
209
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ICANN
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
193
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BMCBI
2005
15 years 6 months ago
2005
Background: Genome wide microarray studies have the potential to unveil novel disease entities. Clinically homogeneous groups of patients can have diverse gene expression profiles...
179
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AIRS
2010
Springer
15 years 4 months ago
2010
Springer
Machine learning algorithms in various forms are now increasingly being used on a variety of portable devices, starting from cell phones to PDAs. They often form a part of standard...
160
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ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
This is a survey of some theoretical results on boosting obtained from an analogous treatment of some regression and classi cation boosting algorithms. Some related papers include...
169
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CEAS
2007
Springer
15 years 10 months ago
2007
Springer
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...