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The management of context-sensitive features: A review of strategies

Turney, Peter (1996) The management of context-sensitive features: A review of strategies. [Conference Paper]

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Abstract

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 context-sensitive learning.

Item Type:Conference Paper
Subjects:Computer Science > Artificial Intelligence
Computer Science > Machine Learning
Computer Science > Statistical Models
ID Code:1865
Deposited By:Turney, Peter
Deposited On:11 Nov 2001
Last Modified:11 Mar 2011 08:54

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