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Volumn , Issue , 2004, Pages 56-60

Model and feature selection in microarray classification

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE SELECTION; MICROARRAYS; STANDARD DEVIATION; SUPPORT VECTOR MACHINE (SVM);

EID: 17044412032     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (18)
  • 2
    • 0037382208 scopus 로고    scopus 로고
    • Evaluation of simple performance measures for tuning SVM hyperparameters
    • Duan, K., S.S. Keerthi, and A.N. Poo, Evaluation of simple performance measures for tuning SVM hyperparameters. Neurocomputing, 2003. 51: p. 41-59.
    • (2003) Neurocomputing , vol.51 , pp. 41-59
    • Duan, K.1    Keerthi, S.S.2    Poo, A.N.3
  • 3
    • 84890520049 scopus 로고    scopus 로고
    • Use of the zero-norm with linear models and kernel methods
    • Western, J., et al., Use of the Zero-Norm with Linear Models and Kernel Methods. Journal of Machine Learning Research, 2003. 3: p. 1439-1461.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1439-1461
    • Western, J.1
  • 5
    • 2942602999 scopus 로고    scopus 로고
    • Entropy-based gene ranking without selection bias for the predictive classification of microarray data
    • Furlanello, C., et al., Entropy-based gene ranking without selection bias for the predictive classification of microarray data. BioMed Central Bioinformatics, 2003.4(54).
    • (2003) BioMed Central Bioinformatics , vol.4 , Issue.54
    • Furlanello, C.1
  • 6
    • 0034598746 scopus 로고    scopus 로고
    • Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
    • Alizadeh, A.A., et al., Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature, 2000. 403(6769): p. 503-511.
    • (2000) Nature , vol.403 , Issue.6769 , pp. 503-511
    • Alizadeh, A.A.1
  • 10
    • 0035272287 scopus 로고    scopus 로고
    • An introduction to kernel-based learning algorithms
    • Muller, K.-R., et al., An introduction to kernel-based learning algorithms. IEEE Transactions on Neural Networks, 2001. 12(2): p. 181-201.
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.2 , pp. 181-201
    • Muller, K.-R.1
  • 13
    • 0024895461 scopus 로고
    • A note on genetic algorithms for large-scale feature-selection
    • Siedlecki, W. and J. Sklansky, A Note on Genetic Algorithms for Large-Scale Feature-Selection. Pattern Recognition Letters, 1989. 10(5): p. 335-347.
    • (1989) Pattern Recognition Letters , vol.10 , Issue.5 , pp. 335-347
    • Siedlecki, W.1    Sklansky, J.2
  • 15
    • 0002678783 scopus 로고    scopus 로고
    • Genetic approach to feature selection for ensemble creation
    • Guerra-Salcedo, C. and D. Whitley. Genetic Approach to Feature Selection for Ensemble Creation, in GECCO-99. 1999.
    • (1999) GECCO-99
    • Guerra-Salcedo, C.1    Whitley, D.2
  • 16
    • 0042354786 scopus 로고    scopus 로고
    • Comparison of linear, nonlinear, and feature selection methods for EEC signal classification
    • Garrett, D., et al., Comparison of linear, nonlinear, and feature selection methods for EEC signal classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2003. 11(2): p. 141-144.
    • (2003) IEEE Transactions on Neural Systems and Rehabilitation Engineering , vol.11 , Issue.2 , pp. 141-144
    • Garrett, D.1
  • 17
    • 0036762783 scopus 로고    scopus 로고
    • Feature selection for the classification of movements from single movement-related potentials
    • Yom-Tov, E. and G.F. Inbar, Feature selection for the classification of movements from single movement-related potentials. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2002.10(3): p. 170-177.
    • (2002) IEEE Transactions on Neural Systems and Rehabilitation Engineering , vol.10 , Issue.3 , pp. 170-177
    • Yom-Tov, E.1    Inbar, G.F.2
  • 18
    • 0033640901 scopus 로고    scopus 로고
    • Comparison of algorithms that select features for pattern classifiers
    • Kudo, M. and J. Sklansky, Comparison of algorithms that select features for pattern classifiers. Pattern Recognition, 2000. 33(1): p. 25-41.
    • (2000) Pattern Recognition , vol.33 , Issue.1 , pp. 25-41
    • Kudo, M.1    Sklansky, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.