Combining labeled and unlabeled data with co-training

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Combining labeled and unlabeled data with co-training

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Annual Workshop on Computational Learning Theory archive
Proceedings of the eleventh annual conference on Computational learning theory table of contents

Madison, Wisconsin, United States

Pages: 92 - 100

Year of Publication: 1998

ISBN:1-58113-057-0

Authors

Avrim Blum	School of Computer Science, Carnegie Mellon University, Pittsburgh, PA
Tom Mitchell	School of Computer Science, Carnegie Mellon University, Pittsburgh, PA

Sponsors

University of Wisconsin : University of Wisconsin
UC @ Santa Cruz : UC @ Santa Cruz
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 59, Downloads (12 Months): 472, Citation Count: 241

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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