The Management of Context-Sensitive Features: A Review of Strategies

Details The Management of Context-Sensitive Features: A Review of Strategies The Management of Context-Sensitive Features: A Review of Strategies

2002-12-12

arxiv.org/abs/cs/0212037v1

13th International Conference on Machine Learning, Workshop on Learning in Context-Sensitive Domains, Bari, Italy, (1996), 60-

Computer Science

Learning

7 pages

Scientific paper

In this paper, we review five heuristic strategies for handling context-sensitive features in supervised machine learning from examples. We discuss two methods for recovering lost (implicit) contextual information. We mention some evidence that hybrid strategies can have a synergetic effect. We then show how the work of several machine learning researchers fits into this framework. While we do not claim that these strategies exhaust the possibilities, it appears that the framework includes all of the techniques that can be found in the published literature on contextsensitive learning.

Affiliated with

Also associated with

No associations

Rating

The Management of Context-Sensitive Features: A Review of Strategies does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with The Management of Context-Sensitive Features: A Review of Strategies, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The Management of Context-Sensitive Features: A Review of Strategies will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-404266