2825 search results - page 56 / 565 » Robust Feature Selection Algorithms |
AI
2009
Springer
14 years 2 months ago
2009
Springer
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
TKDE
2008
13 years 7 months ago
2008
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
ICPR
2000
IEEE
14 years 9 months ago
2000
IEEE
Motion segmentation using feature correspondences can be regarded as a combinatorial problem. A motion segmentation algorithm using feature selection and subspace method is propos...
ISDA
2009
IEEE
14 years 2 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
ISMB
1993
13 years 9 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...