Learning from noisy examples


Authored By:D. Angluin and P. Laird
Paper Title:Learning from noisy examples
In:Machine Learning
Number 4 Vol. 2
Publisher:Kluwer Academic Publishers, Boston
Publication Date: 1988
Pages:343-370

BibTeX Record:
@Article{al-lne-88,
author = "D. Angluin and P. Laird",
title = "Learning from noisy examples",
journal = "Machine Learning",
volume = "2",
number = "4",
year = "1988",
pages = "343--370",
annote = "Preliminary version appeared as YALE/DCS/RR-478.",
comment = "Error model assumes random error rate < 1/2 in classifications provided for examples. Algorithm tries to minimize number of examples which are misclassified by chosen hypothesis.",
publisher = "Kluwer Academic Publishers, Boston",
}

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