Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
The prevalent use of social media produces mountains of unlabeled, high-dimensional data. Feature selection has been shown eļ¬ective in dealing with high-dimensional data for eļ¬...
Feature selection plays a vital role in text categorisation. A range of diļ¬erent methods have been developed, each having unique properties and selecting diļ¬erent features. We ...
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
In this paper, we propose a review selection approach towards accurate estimation of feature ratings for services on participatory websites where users write textual reviews for t...