153 search results - page 15 / 31 » Worst-Case Analysis of Selective Sampling for Linear-Thresho... |
CORR
2007
Springer
13 years 7 months ago
2007
Springer
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
BIBE
2005
IEEE
14 years 1 months ago
2005
IEEE
Selecting informative genes from microarray experiments is one of the most important data analysis steps for deciphering biological information imbedded in such experiments. Howev...
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
Association analysis arises in many important applications such as bioinformatics and business intelligence. Given a large collection of measurements over a set of samples, associ...
EDUTAINMENT
2007
Springer
14 years 1 months ago
2007
Springer
Due to the high-dimensionality of motion captured data which resulted in the complexity in motion analysis, a method of motion data processing based on manifold learning was propos...
BMCBI
2008
13 years 7 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....