284 search results - page 17 / 57 » Sensitivity Analysis of the Result in Binary Decision Trees |
BMCBI
2008
13 years 7 months ago
2008
Background: Experimental examinations of biofluids to measure concentrations of proteins or their fragments or metabolites are being explored as a means of early disease detection...
ICML
1999
IEEE
14 years 8 months ago
1999
IEEE
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...
ICPP
1994
IEEE
13 years 12 months ago
1994
IEEE
Recently, the mesh connected trees (MCT) network has been proposed as a possible architecture for parallel computers. MCT networks are obtained by combining complete binary trees ...