727 search results - page 92 / 146 » On Bayesian model and variable selection using MCMC |
124
click to vote
BMCBI
2007
14 years 10 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
ROBIO
2006
IEEE
15 years 3 months ago
2006
IEEE
— Humanoid robots are highly redundant systems with respect to the tasks they are asked to perform. This redundancy manifests itself in the number of degrees of freedom of the ro...
MA
2010
Springer
14 years 8 months ago
2010
Springer
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
122
click to vote
WINE
2005
Springer
15 years 3 months ago
2005
Springer
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
100
Voted
JMM2
2008
14 years 9 months ago
2008
As computer and database technologies advance rapidly, biologists all over the world can share biologically meaningful data from images of specimens and use the data to classify th...