181 search results - page 6 / 37 » Worst-Case Analysis of Selective Sampling for Linear Classif... |
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
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...
BMCBI
2011
12 years 11 months ago
2011
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
ROBIO
2006
IEEE
14 years 1 months ago
2006
IEEE
– This paper presents an ongoing investigation to select optimal subset of features from set of well-known myoelectric signals (MES) features in time and frequency domains. Four ...
BMCBI
2007
13 years 7 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...