Using Cluster-Based Sampling to Select Initial Training Set for Active Learning in Text Classification-Reference-Cited by-同舟云学术

Using Cluster-Based Sampling to Select Initial Training Set for Active Learning in Text Classification

Published:2004 Issue: Volume: Page:384-388
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
language:
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Author:

Kang Jaeho,Ryu Kwang Ryel,Kwon Hyuk-Chul

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-24775-3_46.pdf

Reference5 articles.

1. Lewis, D., Gale, W.: A sequential algorithm for training text classifiers. In: Proc. of the 17th ACM-SIGIR Conference, pp. 3–12 (1994)

2. Roy, N., McCallum, A.: Toward optimal active learning through sampling estimation of error reduction. In: Proc. of the 18th ICML, pp. 441–448 (2001)

3. UCI Knowledge Discovery in Databases Archive, http://kdd.ics.uci.edu/

4. Basu, S., Banerjee, A., Mooney, R.: Semi-supervised clustering by seeding. In: Proc. of the 19th ICML, pp. 19–26 (2002)

5. Shih, L., Rennie, J.D.M., Chang, Y.-H., Karger, D.R.: Text bundling: statistics-based data reduction. In: Proc. of the 20th ICML, pp. 696–703 (2003)

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