A Maximal Figure-of-Merit (MFoM)-learning approach to robust classifier design for text categorization

10.1145/1148020.1148022

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Bibliographic Details
Main Authors:	Gao, S., Wen, W.U., Lee, C.-H., Chua, T.-S.
Other Authors:	COMPUTER SCIENCE
Format:	Article
Published:	2013
Subjects:	Decision tree Generalized probabilistic descent method Information retrieval Latent semantic indexing Maximal figure-of-merit Text categorization
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/39600
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-39600
record_format	dspace
spelling	sg-nus-scholar.10635-396002023-10-30T07:01:42Z A Maximal Figure-of-Merit (MFoM)-learning approach to robust classifier design for text categorization Gao, S. Wen, W.U. Lee, C.-H. Chua, T.-S. COMPUTER SCIENCE Decision tree Generalized probabilistic descent method Information retrieval Latent semantic indexing Maximal figure-of-merit Text categorization 10.1145/1148020.1148022 ACM Transactions on Information Systems 24 2 190-218 ATISE 2013-07-04T07:45:17Z 2013-07-04T07:45:17Z 2006 Article Gao, S., Wen, W.U., Lee, C.-H., Chua, T.-S. (2006). A Maximal Figure-of-Merit (MFoM)-learning approach to robust classifier design for text categorization. ACM Transactions on Information Systems 24 (2) : 190-218. ScholarBank@NUS Repository. https://doi.org/10.1145/1148020.1148022 10468188 http://scholarbank.nus.edu.sg/handle/10635/39600 000240017200002 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Decision tree Generalized probabilistic descent method Information retrieval Latent semantic indexing Maximal figure-of-merit Text categorization
spellingShingle	Decision tree Generalized probabilistic descent method Information retrieval Latent semantic indexing Maximal figure-of-merit Text categorization Gao, S. Wen, W.U. Lee, C.-H. Chua, T.-S. A Maximal Figure-of-Merit (MFoM)-learning approach to robust classifier design for text categorization
description	10.1145/1148020.1148022
author2	COMPUTER SCIENCE
author_facet	COMPUTER SCIENCE Gao, S. Wen, W.U. Lee, C.-H. Chua, T.-S.
format	Article
author	Gao, S. Wen, W.U. Lee, C.-H. Chua, T.-S.
author_sort	Gao, S.
title	A Maximal Figure-of-Merit (MFoM)-learning approach to robust classifier design for text categorization
title_short	A Maximal Figure-of-Merit (MFoM)-learning approach to robust classifier design for text categorization
title_full	A Maximal Figure-of-Merit (MFoM)-learning approach to robust classifier design for text categorization
title_fullStr	A Maximal Figure-of-Merit (MFoM)-learning approach to robust classifier design for text categorization
title_full_unstemmed	A Maximal Figure-of-Merit (MFoM)-learning approach to robust classifier design for text categorization
title_sort	maximal figure-of-merit (mfom)-learning approach to robust classifier design for text categorization
publishDate	2013
url	http://scholarbank.nus.edu.sg/handle/10635/39600
_version_	1781411035948777472

A Maximal Figure-of-Merit (MFoM)-learning approach to robust classifier design for text categorization

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