| Download | - View accepted manuscript: The Management of Context-Sensitive Features: A Review of Strategies (PDF, 515 KiB)
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| Author | Search for: Turney, Peter1 |
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| Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
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| Format | Text, Article |
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| Conference | Proceedings of the Workshop on Learning in Context-Sensitive Domains,at the 13th International Conference on Machine Learning (ICML-96), July 3-6, 1996., Bari, Italy |
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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. |
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| Publication date | 1996 |
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| Language | English |
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| NRC number | NRCC 39221 |
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| NPARC number | 8914206 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | a3d4a740-5d11-46be-95ff-81e372cb23ba |
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| Record created | 2009-04-22 |
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| Record modified | 2020-03-20 |
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