SDM
2007
SIAM
14 years 1 months ago
2007
SIAM
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
SDM
2008
SIAM
14 years 1 months ago
2008
SIAM
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
SDM
2008
SIAM
14 years 1 months ago
2008
SIAM
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
AAAI
2010
14 years 1 months ago
2010
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
PAKDD
2000
ACM
14 years 3 months ago
2000
ACM
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
KDD
2010
ACM
14 years 4 months ago
2010
ACM
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
RSKT
2009
Springer
14 years 4 months ago
2009
Springer
In rough set theory, the problem of feature selection aims to retain the discriminatory power of original features. Many feature selection algorithms have been proposed, however, q...
HAIS
2009
Springer
14 years 4 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...
ICDM
2005
IEEE
14 years 6 months ago
2005
IEEE
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
ICRA
2008
IEEE
14 years 6 months ago
2008
IEEE
— We present a fast feature selection algorithm suitable for object detection applications where the image being tested must be scanned repeatedly to detected the object of inter...