Feature selection in possibilistic modeling-Reference-Cited by-同舟云学术

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Feature selection in possibilistic modeling

Published:2015-11 Issue:11 Volume:48 Page:3627-3640
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Ammar Bouhamed S.,Khanfir Kallel I.,Sellami Masmoudi D.,Solaiman B.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference48 articles.

1. F. Sha, F. Pereira, Shallow parsing with conditional random fields, in: Proceedings of the Human Language Technology-NAACL 2003, Edmonton, Canada, 2003, pp. 213–220.

2. J. Kazama, J. Tsujii, Evaluation and extension of maximum entropy models with inequality constraints, in: Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing, Morristown, NJ, USA, 2003, pp. 137–144.

3. R. Kohavi, G.H. John, Wrappers for feature subset selection, Artif. Intell. (1997) 273–324.

4. A.L. Blum, P. Langley, Selection of relevant features and examples in machine learning, Artif. Intell. (1997) 245–271.

5. An introduction to feature and variable selection;Guyon;J. Mach. Learn. Res.,2003

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