631 search results - page 6 / 127 » Selecting Useful Groups of Features in a Connectionist Frame... |
SDM
2012
SIAM
12 years 12 months ago
2012
SIAM
Feature selection is widely used in preparing highdimensional data for effective data mining. Increasingly popular social media data presents new challenges to feature selection....
CSDA
2008
14 years 9 months ago
2008
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
78
Voted
EUC
2004
Springer
15 years 2 months ago
2004
Springer
The Distributed Object Group Framework(DOGF) we constructed supports the grouping of distributed objects that are required for distributed application. From the DOGF, we manage dis...
109
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MCS
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. We report on our recent progress in developing an ensemble of classifiers based algorithm for addressing the missing feature problem. Inspired in part by the random subsp...
93
Voted
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...