Enhancing Learning using Feature and Example selection
Baranidharan Raman, Thomas R. Ioerger · 2003
While most of the stable learning algorithms perform well on domains with relevant information, they degrade in the presence of irrelevant or redundant information. Selective or focused learning presents a solution to this problem. Two components of selective learning are selective attention (feature selection) and selective utilization (example selection).