1007 search results - page 7 / 202 » Ensemble Feature Ranking |
SDM
2012
SIAM
11 years 10 months ago
2012
SIAM
Outlier detection research is currently focusing on the development of new methods and on improving the computation time for these methods. Evaluation however is rather heuristic,...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
JMLR
2010
13 years 2 months ago
2010
In this paper we investigate the problem of evaluating ranked lists of biomarkers, which are typically an output of the analysis of high-throughput data. This can be a list of pro...
MCS
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
PCM
2007
Springer
14 years 1 months ago
2007
Springer
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...