54 search results - page 1 / 11 » Iterative RELIEF for feature weighting |
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
RELIEF is considered one of the most successful algorithms for assessing the quality of features. In this paper, we propose a set of new feature weighting algorithms that perform s...
CIKM
2009
Springer
13 years 8 months ago
2009
Springer
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
AIRS
2008
Springer
13 years 6 months ago
2008
Springer
Although regarded as one of the most successful algorithm to identify predictive features, Relief is quite vulnerable to outliers and noisy features. The recently proposed I-Relief...
CIBCB
2008
IEEE
13 years 11 months ago
2008
IEEE
— The genetic causes of many monogenic diseases have already been discovered. However, most common diseases are actually the result of complex nonlinear interactions between mult...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...