28 search results - page 2 / 6 » Conditional variable importance for random forests |
ESANN
2006
13 years 6 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
BMCBI
2006
13 years 5 months ago
2006
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
JAIR
2008
13 years 5 months ago
2008
In this paper, we show that a continuous spectrum of randomisation exists, in which most existing tree randomisations are only operating around the two ends of the spectrum. That ...
JCDL
2009
ACM
13 years 11 months ago
2009
ACM
Users of digital libraries usually want to know the exact author or authors of an article. But different authors may share the same names, either as full names or as initials and...
FUIN
2010
13 years 3 days ago
2010
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...