42 search results - page 1 / 9 » Data Envelopment Analysis as Nonparametric Least-Squares Reg... |
IOR
2010
12 years 11 months ago
2010
PAMI
2012
11 years 7 months ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) is a well-known method for dimensionality reduction and classification. LDA in the binaryclass case has been shown to be equivalent to linear re...
FLAIRS
2004
13 years 6 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
NECO
2011
12 years 11 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...