136 search results - page 5 / 28 » An Algorithm for Iterative Selection of Blocks of Features |
FUIN
2010
13 years 2 months ago
2010
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
ICML
2003
IEEE
14 years 18 days ago
2003
IEEE
Feature selection methods have been successfully applied to text categorization but seldom applied to text clustering due to the unavailability of class label information. In this...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
AIRS
2008
Springer
13 years 9 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...
ACL
1998
13 years 8 months ago
1998
Maximum entropy framework proved to be expressive and powerful for the statistical language modelling, but it suffers from the computational expensiveness of the model building. T...