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» Result Analysis of the NIPS 2003 Feature Selection Challenge
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BMCBI
2002
195views more  BMCBI 2002»
13 years 6 months ago
Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
Junbai Wang, Jan Delabie, Hans Christian Aasheim, ...
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
13 years 8 months ago
Co-selection of Features and Instances for Unsupervised Rare Category Analysis
Rare category analysis is of key importance both in theory and in practice. Previous research work focuses on supervised rare category analysis, such as rare category detection an...
Jingrui He, Jaime G. Carbonell
NIPS
2001
13 years 8 months ago
Distribution of Mutual Information
Mutual information is widely used, in a descriptive way, to measure the stochastic dependence of categorical random variables. In order to address questions such as the reliabilit...
M. Hutter
AIPR
2003
IEEE
14 years 1 days ago
Band Selection Using Independent Component Analysis for Hyperspectral Image Processing
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...
Hongtao Du, Hairong Qi, Xiaoling Wang, Rajeev Rama...
VCIP
2003
170views Communications» more  VCIP 2003»
13 years 8 months ago
How good are the visual MPEG-7 features?
The study presented in this paper analyses descriptions extracted with MPEG-7-descriptors from visual content from the statistical point of view. Good descriptors should generate ...
Horst Eidenberger