65 search results - page 6 / 13 » Semi-supervised feature selection via multiobjective optimiz... |
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...
SSPR
2004
Springer
14 years 27 days ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
EMO
2006
Springer
13 years 11 months ago
2006
Springer
The design of quality measures for approximations of the Pareto-optimal set is of high importance not only for the performance assessment, but also for the construction of multiobj...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper met...
CCECE
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper compares the performance of classification and regression trees (CART), multivariate adaptive regression splines (MARS), and a Gaussian mixture regressor (GMR) method ...