414 search results - page 28 / 83 » Feature Selection for Classifying High-Dimensional Numerical... |
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
SIBGRAPI
2006
IEEE
14 years 1 months ago
2006
IEEE
Statistical discrimination methods are suitable not only for classification but also for characterisation of differences between a reference group of patterns and the population u...
PR
2006
13 years 7 months ago
2006
A conventional way to discriminate between objects represented by dissimilarities is the nearest neighbor method. A more efficient and sometimes a more accurate solution is offere...
KBS
2008
13 years 6 months ago
2008
Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
ISBI
2004
IEEE
14 years 8 months ago
2004
IEEE
Fluorescence microscope images capture information from an entire field of view, which often comprises several cells scattered on the slide. We have previously trained classifiers...