1025 search results - page 107 / 205 » Constraint Programming for Data Mining and Machine Learning |
117
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
148
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BMCBI
2010
15 years 3 months ago
2010
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
134
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RSEISP
2007
Springer
15 years 9 months ago
2007
Springer
This paper concerns the development of a new direction in machine learning, called natural induction, which requires from computergenerated knowledge not only to have high predicti...
128
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
124
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SODA
2001
ACM
15 years 4 months ago
2001
ACM
Clustering is of central importance in a number of disciplines including Machine Learning, Statistics, and Data Mining. This paper has two foci: 1 It describes how existing algori...