78 search results - page 10 / 16 » Learning and evaluating classifiers under sample selection b... |
BMCBI
2006
13 years 7 months ago
2006
Background: Microarray data analysis is notorious for involving a huge number of genes compared to a relatively small number of samples. Gene selection is to detect the most signi...
ICRA
2008
IEEE
14 years 2 months ago
2008
IEEE
— Successful multi-target tracking requires locating the targets and labeling their identities. For the laser based tracking system, the latter becomes significantly more challen...
BIBE
2007
IEEE
13 years 11 months ago
2007
IEEE
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
Exploding amounts of multimedia data increasingly require automatic indexing and classification, e.g. training classifiers to produce high-level features, or semantic concepts, ch...