4466 search results - page 409 / 894 » Large-Scale Data Analysis Using Heuristic Methods |
143
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BMCBI
2008
15 years 6 months ago
2008
Background: An important goal of whole-genome studies concerned with single nucleotide polymorphisms (SNPs) is the identification of SNPs associated with a covariate of interest s...
208
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JMLR
2012
13 years 9 months ago
2012
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
178
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
152
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SCAM
2005
IEEE
16 years 1 days ago
2005
IEEE
In software evolution analysis, many approaches analyze release history data available through versioning systems. The recent investigations of CVS data have shown that commonly c...
203
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ICAISC
2010
Springer
15 years 8 months ago
2010
Springer
Hotelling’s Canonical Correlation Analysis (CCA) works with two sets of related variables, also called views, and its goal is to find their linear projections with maximal mutual...