2740 search results - page 33 / 548 » Approximating Component Selection |
ICONIP
2007
14 years 11 months ago
2007
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
ESEC
1999
Springer
15 years 2 months ago
1999
Springer
This paper is about a paradigm shift from the current practice of manually searching for and adapting components and their manual assembly to Generative Programming, which is the a...
WCE
2007
14 years 11 months ago
2007
—Building a time series forecasting model by independent component analysis mechanism presents in the paper. Different from using the time series directly with the traditional A...
EOR
2011
14 years 4 months ago
2011
Efficiency measurement is an important issue for any firm or organization. Efficiency measurement allows organizations to compare their performance with their competitors’ and t...
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JMLR
2012
13 years 6 days 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...