414 search results - page 9 / 83 » Feature Selection for Classifying High-Dimensional Numerical... |
KDD
2003
ACM
14 years 7 months ago
2003
ACM
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
22
Voted
BMCBI
2008
13 years 7 months ago
2008
Background: Metabolomics, or metabonomics, refers to the quantitative analysis of all metabolites present within a biological sample and is generally carried out using NMR spectro...
AMFG
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper proposes the AdaBoost Gabor Fisher Classifier (AGFC) for robust face recognition, in which a chain AdaBoost learning method based on Bootstrap re-sampling is proposed an...
IJCAI
2001
13 years 8 months ago
2001
Consider a supervised learning problem in which examples contain both numerical- and text-valued features. To use traditional featurevector-based learning methods, one could treat...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...