Block diagonal linear discriminant analysis with sequential embedded feature selection

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 5, Issue , 2006, Pages

  Piqué Regí, Roger ^a   Ortega, Antonio ^a  

^a University of Southern California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL DATASETS; LINEAR DISCRIMINANT ANALYSIS (LDA); TRAINING SETS;

COVARIANCE MATRIX; DISCRIMINANT ANALYSIS; LINEAR SYSTEMS; MATHEMATICAL MODELS; SET THEORY;

FEATURE EXTRACTION;

EID: 33947695238     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Richard Duda, Peter Hart, and David Stork, Pattern Classification, John Wiley and Sons, 2001, 0-471-05669-3.
2. Trevor Hastie, Robert Tibshirani, and J. H. Friedman, The Elements of Statistical Learning, Springer, July 2001.
3. J. H. Friedman, "Regularized discriminant analysis," Journal of the American Statistical Association, vol. 84, pp. 163-175, 1989.
4. Isabelle Guyon and André Elisseeff, "An introduction to variable and feature selection," Journal of Machine Learning Research, vol. 3, pp. 1157-1182, 2003.
5. Ron Kohavi and George H. John, "Wrappers for feature subset selection," Artificial Intelligence, vol. 97, no. 1-2, pp. 273-324, 1997.
6. M Xiong, W Li, J Zhao, L Jin, and E Boerwinkle, "Feature (gene) selection in gene expression-based tumor classification.," Mol Genet Metab, vol. 73, no. 3, pp. 239-47, 2001.
7. Trond Bo and Inge Jonassen, "New feature subset selection procedures for classification of expression profiles.," Genome Biol, vol. 3, no. 4, pp. RESEARCH0017, 2002.
8. R. Piqué-Regí, A. Ortega, and S. Asgharzadeh, "Sequential diagonal linear discriminant analysis (SeqDLDA) for microarray classification and gene identification," in Computational Systems and Bioinformatics, Aug. 2005.
9. T.N. Lal, O. Chapelle, J. Weston, and A. Elisseeff, Embedded methods, Springer, 2005.
10. Isabelle Guyon, Jason Weston, Stephen Barnhill, and Vladimir Vapnik, "Gene selection for cancer classification using support vector machines," Mach. Learn., vol. 46, no. 1-3, pp. 389-422, 2002.