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TCBB
2010
176views more  TCBB 2010»
15 years 4 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
15 years 1 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 7 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 8 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
ISESE
2002
IEEE
15 years 11 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,...