Various feature selection techniques were studied. The trend toward richer data types is pushing feature selection in both scale and complexity. Natural language text features and image features are becoming commonplace. Several trends will increase the demand for feature selection. Time plays an additional role in some nonstationary domains where the best features have a seasonal dependency.
|Original language||English (US)|
|Number of pages||3|
|Journal||IEEE Intelligent Systems|
|State||Published - Nov 1 2005|
ASJC Scopus subject areas
- Computer Networks and Communications
- Artificial Intelligence