416 search results - page 10 / 84 » Nonlinear Feature Selection by Relevance Feature Vector Mach... |
BIOINFORMATICS
2006
13 years 7 months ago
2006
Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
JMLR
2010
13 years 2 months ago
2010
We adopt the Relevance Vector Machine (RVM) framework to handle cases of tablestructured data such as image blocks and image descriptors. This is achieved by coupling the regulari...
IMSCCS
2007
IEEE
14 years 2 months ago
2007
IEEE
Background: Activities of drug molecules can be predicted by QSAR (quantitative structure activity relationship) models, which overcomes the disadvantages of high cost and long cy...
ICML
2004
IEEE
14 years 1 months ago
2004
IEEE
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
ARTMED
2007
13 years 7 months ago
2007
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...