83 search results - page 1 / 17 » Stability of feature selection algorithms: a study on high-d... |
HAIS
2009
Springer
13 years 9 months ago
2009
Springer
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
KAIS
2007
13 years 4 months ago
2007
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
ICIAP
2005
ACM
14 years 4 months ago
2005
ACM
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
ICDE
1998
IEEE
14 years 6 months ago
1998
IEEE
Current data repositories include a variety of data types, including audio, images and time series. State of the art techniques for indexing such data and doing query processing r...