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NeurIPS 1994

Limits on Learning Machine Accuracy Imposed by Data Quality

Conference Paper Artificial Intelligence ยท Machine Learning

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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Keywords

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Context

Venue
Annual Conference on Neural Information Processing Systems
Archive span
1987-2025
Indexed papers
30776
Paper id
403771883336822222
v2026.09.13