144 search results - page 7 / 29 » Variable selection using random forests |
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Voted
CLEF
2009
Springer
14 years 7 months ago
2009
Springer
In this paper, we describe an approach for the automatic medical image annotation task of the 2009 CLEF cross-language image retrieval campaign (ImageCLEF). This work is focused o...
CSDA
2008
14 years 9 months ago
2008
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
JAL
2008
14 years 9 months ago
2008
An important class of heuristics for constraint satisfaction problems works by sampling information during search in order to inform subsequent decisions. One of these strategies, ...
AUSDM
2006
Springer
15 years 1 months ago
2006
Springer
In response to the rapid development of DNA Microarray technology, many classification methods have been used for Microarray classification. SVMs, decision trees, Bagging, Boostin...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We consider the general, widely applicable problem of selecting from n real-valued random variables a subset of size m of those with the highest means, based on as few samples as ...