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JCST
2011
88views more  JCST 2011»
14 years 3 months ago
Transfer Learning via Multi-View Principal Component Analysis
Yangsheng Ji, Jiajun Chen, Gang Niu, Lin Shang, Xi...
CSDA
2004
105views more  CSDA 2004»
15 years 8 days ago
Computational aspects of algorithms for variable selection in the context of principal components
Variable selection consists in identifying a k-subset of a set of original variables that is optimal for a given criterion of adequate approximation to the whole data set. Several...
Jorge Cadima, J. Orestes Cerdeira, Manuel Minhoto
BMCBI
2010
144views more  BMCBI 2010»
15 years 16 days ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
161
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CNSR
2011
IEEE
257views Communications» more  CNSR 2011»
14 years 4 months ago
On Threshold Selection for Principal Component Based Network Anomaly Detection
—Principal component based anomaly detection has emerged as an important statistical tool for network anomaly detection. It works by projecting summary network information onto a...
Petar Djukic, Biswajit Nandy
NIPS
1993
15 years 1 months ago
Fast Pruning Using Principal Components
We present a new algorithm for eliminating excess parameters and improving network generalization after supervised training. The method, \Principal Components Pruning (PCP)",...
Asriel U. Levin, Todd K. Leen, John E. Moody