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TCBB
2010
176views more  TCBB 2010»
15 years 1 months ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...
BMCBI
2011
14 years 10 months ago
Predicting functionally important SNP classes based on negative selection
Background: With the advent of cost-effective genotyping technologies, genome-wide association studies allow researchers to examine hundreds of thousands of single nucleotide poly...
Mark A. Levenstien, Robert J. Klein
ICML
2007
IEEE
16 years 3 months ago
Minimum reference set based feature selection for small sample classifications
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
Xue-wen Chen, Jong Cheol Jeong
CVPR
2008
IEEE
16 years 5 months ago
Image selection for improved Multi-View Stereo
The Middlebury Multi-View Stereo evaluation [18] clearly shows that the quality and speed of most multi-view stereo algorithms depends significantly on the number and selection of...
Alexander Hornung, Boyi Zeng, Leif Kobbelt
106
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ISESE
2002
IEEE
15 years 8 months ago
Elimination of Crucial Faults by a New Selective Testing Method
Recent software systems contain a lot of functions to provide various services. According to this tendency, software testing becomes more difficult than before and cost of testing...
Masayuki Hirayama, Tetsuya Yamamoto, Jiro Okayasu,...