39 search results - page 2 / 8 » Selecting Features by Vertical Compactness of Data |
BIBE
2008
IEEE
13 years 7 months ago
2008
IEEE
Recent advances of robotic/mechanical devices enable us to measure a subject's performance in an objective and precise manner. The main issue of using such devices is how to r...
PAKDD
2004
ACM
13 years 10 months ago
2004
ACM
Generic ensemble methods can achieve excellent learning performance, but are not good candidates for active learning because of their different design purposes. We investigate how...
PKDD
2009
Springer
13 years 12 months ago
2009
Springer
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an e...
ICC
2007
IEEE
13 years 11 months ago
2007
IEEE
— – Major research challenges in the next generation of wireless networks include the provisioning of worldwide seamless mobility across heterogeneous wireless networks, the im...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...