83 search results - page 1 / 17 » Stability of feature selection algorithms: a study on high-d... |
126
Voted
HAIS
2009
Springer
15 years 5 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...
103
Voted
KAIS
2007
15 years 29 days ago
2007
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
112
Voted
ICIAP
2005
ACM
16 years 1 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...
128
Voted
CVPR
2004
IEEE
16 years 3 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...
202
Voted
ICDE
1998
IEEE
16 years 2 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...