1950 search results - page 90 / 390 » Informative sampling for large unbalanced data sets |
132
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BMCBI
2008
15 years 1 months ago
2008
Background: Multiple sequence alignments are a fundamental tool for the comparative analysis of proteins and nucleic acids. However, large data sets are no longer manageable for v...
128
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ATAL
2011
Springer
14 years 1 months ago
2011
Springer
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
104
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
112
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SIGIR
2006
ACM
15 years 7 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
140
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BMCBI
2008
15 years 1 months ago
2008
Background: Recent genome wide transcription factor binding site or chromatin modification mapping analysis techniques, such as chromatin immunoprecipitation (ChIP) linked to DNA ...