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

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

Internet

http://scholarbank.nus.edu.sg/handle/10635/39600

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