522 search results - page 3 / 105 » Feature selection for ranking using boosted trees |
102
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WWW
2011
ACM
14 years 4 months ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
BMCBI
2006
14 years 9 months ago
2006
Background: We present a novel strategy for classification of DNA molecules using measurements from an alpha-Hemolysin channel detector. The proposed approach provides excellent c...
SAC
2004
ACM
15 years 2 months ago
2004
ACM
This work presents decision trees adequate for the classification of series data. There are several methods for this task, but most of them focus on accuracy. One of the requirem...
ICIP
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper we propose a domain partitioning RankBoost approach for face recognition. This method uses Local Gabor Binary Pattern Histogram (LGBPH) features for face representat...
127
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BMCBI
2004
14 years 9 months ago
2004
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...