522 search results - page 12 / 105 » Feature selection for ranking using boosted trees |
131
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ICANN
2007
Springer
15 years 3 months ago
2007
Springer
Within the taxonomy of feature extraction methods, recently the Wrapper approaches lost some popularity due to the associated computational burden, compared to Embedded or Filter m...
100
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IJON
2006
14 years 11 months ago
2006
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
CIKM
2008
Springer
15 years 1 months ago
2008
Springer
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
107
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BMCBI
2004
14 years 11 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
104
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TREC
2007
15 years 25 days ago
2007
In TREC 2007, Language Computer Corporation explored how a new, semantically-rich framework for information retrieval could be used to boost the overall performance of the answer ...