447 search results - page 8 / 90 » Two-Stage Optimal Component Analysis |
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a particular linear combination of the input variables while constraining the numb...
ICASSP
2008
IEEE
15 years 3 months ago
2008
IEEE
The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is Principal Component Analysis (PCA). A more ambitio...
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PODS
2010
ACM
15 years 2 months ago
2010
ACM
Differential privacy is a robust privacy standard that has been successfully applied to a range of data analysis tasks. But despite much recent work, optimal strategies for answe...
JMLR
2010
14 years 4 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
SLS
2007
Springer
15 years 3 months ago
2007
Springer
We consider a possible scenario of experimental analysis on heuristics for optimization: identifying the contribution of local search components when algorithms are evaluated on th...