877 search results - page 87 / 176 » Selection of Subsets of Ordered Features in Machine Learning |
149
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GECCO
2009
Springer
15 years 8 months ago
2009
Springer
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
135
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FGCS
2000
15 years 3 months ago
2000
Conventional encryption technology often requires users to protect a secret key by selecting a password or passphrase. While a good passphrase will only be known to the user, it a...
138
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IJISTA
2007
15 years 3 months ago
2007
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
152
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CIKM
2009
Springer
15 years 8 months ago
2009
Springer
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
134
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SEMWEB
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Ontology alignment is a prerequisite in order to allow for interoperation between different ontologies and many alignment strategies have been proposed to facilitate the ...