5603 search results - page 91 / 1121 » Feature Selection for Clustering |
158
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KDD
2004
ACM
16 years 4 months ago
2004
ACM
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
160
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SAC
2010
ACM
15 years 11 months ago
2010
ACM
Ordinal regression (also known as ordinal classification) is a supervised learning task that consists of automatically determining the implied rating of a data item on a fixed, ...
136
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IWANN
2009
Springer
15 years 10 months ago
2009
Springer
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
150
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ECML
2007
Springer
15 years 10 months ago
2007
Springer
The stability of sample based algorithms is a concept commonly used for parameter tuning and validity assessment. In this paper we focus on two well studied algorithms, LSI and PCA...
138
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ICIP
2007
IEEE
16 years 6 months ago
2007
IEEE
In this paper, we describe a new approach for color texture classification by use of Haralick features extracted from color co-occurrence matrices. As the color of each pixel can ...