NeurIPS 1994
Limits on Learning Machine Accuracy Imposed by Data Quality
Abstract
Random errors and insufficiencies in databases limit the perfor(cid: 173) mance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the limiting perfor(cid: 173) mance of classifiers imposed by the database. We demonstrate this technique on the task of predicting failure in telecommunication paths.
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Context
- Venue
- Annual Conference on Neural Information Processing Systems
- Archive span
- 1987-2025
- Indexed papers
- 30776
- Paper id
- 403771883336822222