Learning from Examples with Unspecified Attribute Values (Extended Abstract)
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Article Free Access Share on Learning from examples with unspecified attribute values (extended abstract) Authors: Sally A. Goldman Dept. of Computer Science, Washington University, St. Louis, MO Dept. of Computer Science, Washington University, St. Louis, MOView Profile , Stephen S. Kwek Dept. of Computer Science, Washington University, St. Louis, MO Dept. of Computer Science, Washington University, St. Louis, MOView Profile , Stephen D. Scott Dept. of Computer Science, Washington University, St. Louis, MO Dept. of Computer Science, Washington University, St. Louis, MOView Profile Authors Info & Claims COLT '97: Proceedings of the tenth annual conference on Computational learning theoryJuly 1997 Pages 231–242https://doi.org/10.1145/267460.267504Published:01 July 1997Publication History 10citation251DownloadsMetricsTotal Citations10Total Downloads251Last 12 Months11Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited. To manage your alert preferences, click on the button below. Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
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Goldman et al. "Learning from Examples with Unspecified Attribute Values (Extended Abstract)." Annual Conference on Computational Learning Theory, 1997. doi:10.1145/267460.267504Markdown
[Goldman et al. "Learning from Examples with Unspecified Attribute Values (Extended Abstract)." Annual Conference on Computational Learning Theory, 1997.](https://mlanthology.org/colt/1997/goldman1997colt-learning/) doi:10.1145/267460.267504BibTeX
@inproceedings{goldman1997colt-learning,
title = {{Learning from Examples with Unspecified Attribute Values (Extended Abstract)}},
author = {Goldman, Sally A. and Kwek, Stephen and Scott, Stephen D.},
booktitle = {Annual Conference on Computational Learning Theory},
year = {1997},
pages = {231-242},
doi = {10.1145/267460.267504},
url = {https://mlanthology.org/colt/1997/goldman1997colt-learning/}
}