13 search results - page 1 / 3 » Getting the Most Out of Ensemble Selection |
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
We investigate four previously unexplored aspects of ensemble selection, a procedure for building ensembles of classifiers. First we test whether adjusting model predictions to p...
JMLR
2006
13 years 4 months ago
2006
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
BMCBI
2004
13 years 4 months ago
2004
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
ICRA
2009
IEEE
13 years 11 months ago
2009
IEEE
—We present an application of machine learning to the semi-automatic synthesis of robust servo-trackers for underwater robotics. In particular, we investigate an approach based o...