5 search results - page 1 / 1 » Cost-Sensitive Parsimonious Linear Regression |
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
We examine linear regression problems where some features may only be observable at a cost (e.g., in medical domains where features may correspond to diagnostic tests that take ti...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The recent upsurge of research toward compressive sampling and parsimonious signal representations hinges on signals being sparse, either naturally, or, after projecting them on a...
CSDA
2007
13 years 7 months ago
2007
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications, where obse...
BMCBI
2008
13 years 7 months ago
2008
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...