Learning classifiers without negative examples: A reduction approach

[DBLP_Link] [Online_Version] CitedBy 1

Year: 2008
Pages: 6
In Proceedings: ICDIM

Authors:

Dell Zhang

(Assistant Professor, School of Computer Science and Information Systems (SCSIS))

H-index: 11; Papers: 27; Citation: 605 [FOAF]

Homepage: http://www.dcs.bbk.ac.uk/~Dell/

Expertise: Information Retrieval / Probabilistic Indexing; Information Systems Design / Micro computer software; Data Mining / Query Processing;

Wee Sun Lee

(Associate Professor, Department of Computer Science Computing 1 National University of Singapore)

H-index: 18; Papers: 53; Citation: 2494 [FOAF]

Homepage: http://www.comp.nus.edu.sg/~leews/

Expertise: Machine Learning; Information Retrieval / Probabilistic Indexing; Data Compression / Arithmetic Coding; Web Mining; Learning Search Control Rules / Explanation-based Approach;

Dell Zhang, Wee Sun Lee. Learning classifiers without negative examples: A reduction approach. In Proceedings of ICDIM'2008. pp.638~643

Other Format:

LNCS: [Top]
Zhang, D., Lee, W.S.: Learning classifiers without negative examples: A reduction approach. In ICDIM(2008) 638-643

IEEE:
D. Zhang and W.S. Lee, "Learning classifiers without negative examples: A reduction approach", in Proc. ICDIM, 2008, pp.638-643.

ACM:
Zhang, D. and Lee, W.S. Learning classifiers without negative examples: A reduction approach. In Proceedings of ICDIM. 2008, 638-643.

Latex:
@INPROCEEDINGS{ zhang:learning, AUTHOR = "Dell Zhang and Wee Sun Lee", TITLE = "Learning classifiers without negative examples: A reduction approach", booktitle = "ICDIM'08", PAGES = {638-643}, YEAR = {2008} }

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