A comparative evaluation of medium- and large-scale feature selectors for pattern classifiers

Kybernetika

Volumn 34, Issue 4, 1998, Pages 429-434

  Kudo, Mineichi ^a   Sklansky, Jack ^b  

^a HOKKAIDO UNIVERSITY   (Japan)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0347721633     PISSN: 00235954     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

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2. I. Foroutan and J. Sklansky: Feature selection for automatic classification of non-gaussian data. IEEE. Trans. Systems Man Cybernet. 17 (1987), 187-198.
3. J. Kittler: Feature set search algorithms. In: Pattern Recognition and Signal Processing (C. H. Chen, ed.), Sijthoff and Noordhoff, Alphen aan den Rijn 1978, pp. 41-60.
4. P. M. Murphy and D. W. Aha: UCI Repository of machine learning databases [Machine-readable data repository]. Department of Information and Computation Science University of California, Irivne 1996.
5. P. Pudil, J. Novovičová and J. Kittler: Floating search methods in feature selection. Pattern Recognition Lett. 15 (1994), 1119-1125.
6. W. Siedlecki and J. Sklansky: A note on genetic algorithms for large-scale feature selection. Pattern Recognition Lett. 10 (1989), 335-347.
7. J. Sklansky and W. Siedlecki: Large-scale feature selection. In: Handbook of Pattern Recognition and Computer Vision (L. F. Pau, C. H. Chen and P. S. P. Wang, eds.), Chapter 1.3, World Scientific 1993, pp. 61-123.
8. M. R. Vriesenga: Genetic Selection and Neureal Modeling for Designing Pattern Classifier. Doctor Thesis, University of California, Irvine 1995.
9. B. Yu and B. Yuan: A more efficient branch and bound algorithm for feature selection. Pattern Recognition 26 (1993), 6, 883-889.
10. D. Zongker and A. Jain: Algorithms for feature selection: An evaluation. In: 13th International Conference on Pattern Recognition 1996, pp. 18-22.