Feature selection in the classification of high-dimension data

GENSIPS'08 - 6th IEEE International Workshop on Genomic Signal Processing and Statistics

Volumn , Issue , 2008, Pages

  Hua, Jianping ^a   Tembe, Waibhav ^a   Dougherty, Edward R ^b  

^a TRANSLATIONAL GENOMICS RESEARCH INSTITUTE   (United States)

^b Texas AandM University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); STATISTICAL METHODS;

FEATURE SELECTION; GENOMIC SIGNAL PROCESSING;

SIGNAL PROCESSING;

EID: 51549116154     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GENSIPS.2008.4555665     Document Type: Conference Paper

References (5)

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2. M. Kudo and J. Sklansky, "Comparison of algorithms that select features for pattern classifiers," Pattern Recognition, vol. 33, pp. 24-41, 2000.
3. M. Kudo and J. Sklansky, "Classifier-independent feature selection for two-stage feature selection," in Lecture Notes in Computer Science, A. Amin and H. F. D. Dori, P. Pudil, Eds., Berlin, 1998, vol. 1451 of Advances in Pattern Recognition, pp. 548-554, Springer.
4. U. Braga-Neto and E. Dougherty, "Bolstered error estimation," Pattern Recogn, vol. 37, pp. 1267-1281, 2004.
5. J. Hua, W. Tembe and E.R. Dougherty, "Performance of feature selection methods in the classification of high-dimension data," submitted.