1007 search results - page 40 / 202 » Ensemble Feature Ranking |
AAAI
2004
13 years 11 months ago
2004
Random decision tree is an ensemble of decision trees. The feature at any node of a tree in the ensemble is chosen randomly from remaining features. A chosen discrete feature on a...
CIKM
2000
Springer
14 years 2 months ago
2000
Springer
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
BIBE
2005
IEEE
14 years 3 months ago
2005
IEEE
We introduce a new ensemble method based on decision tree to discover significant and diversified rules for subtype classification of childhood acute lymphoblastic leukemia, a ...
MCS
2001
Springer
14 years 2 months ago
2001
Springer
Using an ensemble of classifiers instead of a single classifier has been shown to improve generalization performance in many machine learning problems [4, 16]. However, the exten...
ICMLA
2008
13 years 11 months ago
2008
We introduce three ensemble machine learning methods for analysis of biological DNA binding by transcription factors (TFs). The goal is to identify both TF target genes and their ...