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Combining labeled and unlabeled data with co-training

5.6K

Citations

17

References

1998

Year

Abstract

We consider the problem of using a large unlabeled sample to boost performance of a learning algorit,hrn when only a small set of labeled examples is available.

References

YearCitations

1977

49.2K

1977

4.5K

1993

3.5K

1974

3.4K

1995

2.4K

1974

1K

1998

676

1993

543

1995

273

1999

190

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