294 search results - page 5 / 59 » Spectral feature selection for supervised and unsupervised l... |
SEBD
2008
13 years 9 months ago
2008
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
PR
2008
13 years 7 months ago
2008
Feature selection is an important preprocessing step in mining high-dimensional data. Generally, supervised feature selection methods with supervision information are superior to ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Object recognition accuracy can be improved when information from multiple views is integrated, but information in each view can often be highly redundant. We consider the problem...
NIPS
2008
13 years 9 months ago
2008
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
ICIAP
2005
ACM
14 years 7 months ago
2005
ACM
Abstract. Application and development of specialized machine learning techniques is gaining increasing attention in the intrusion detection community. A variety of learning techniq...