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Volumn 3, Issue , 2004, Pages 2455-2459

Classification of magnetic resonance spectra using parallel randomized feature selection

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL SPECTRA; FEATURE SELECTION; LINEAR DISCRIMINANT ANALYSIS; MAGNETIC RESONANCE SPECTRA;

EID: 10844288781     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2004.1381013     Document Type: Conference Paper
Times cited : (7)

References (16)
  • 1
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    • Neural networks and their applications
    • C. M. Bishop, "Neural networks and their applications," Review of Scientific Instruments, vol. 65(6), pp. 1803-1832, 1994.
    • (1994) Review of Scientific Instruments , vol.65 , Issue.6 , pp. 1803-1832
    • Bishop, C.M.1
  • 5
    • 0026761411 scopus 로고
    • Genetic and physical maps of Saccharomyces cerevisiae
    • R. K. Mortimer, C. R. Contopoulou and J. S. King, "Genetic and physical maps of Saccharomyces cerevisiae," Yeast, vol. 8, pp. 817-902, 1992.
    • (1992) Yeast , vol.8 , pp. 817-902
    • Mortimer, R.K.1    Contopoulou, C.R.2    King, J.S.3
  • 6
    • 0026120032 scopus 로고
    • Small sample size effects in statistical pattern recognition: Recommendation for practitioners
    • S. Raudys and A. Jain, "Small sample size effects in statistical pattern recognition: recommendation for practitioners," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 13(3), pp. 252-264, 1991.
    • (1991) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.13 , Issue.3 , pp. 252-264
    • Raudys, S.1    Jain, A.2
  • 7
    • 0000696616 scopus 로고
    • Neural networks and related methods for classification
    • B. D. Ripley, "Neural networks and related methods for classification," Journal of the Royal Statistical Society [B], vol. 56, pp. 409-456, 1994.
    • (1994) Journal of the Royal Statistical Society [B] , vol.56 , pp. 409-456
    • Ripley, B.D.1
  • 10
    • 10844247508 scopus 로고    scopus 로고
    • Comparison of two strategies for classifying biomedical spectra: Genetic algorithm-driven feature extraction vs. the random subspace method
    • submitted for review
    • R. L. Somorjai, R. Baumgartner, T. K. Ho, U. Himmelreich, C. E. Mountford, and T. C. Sorrell, "Comparison of two strategies for classifying biomedical spectra: Genetic algorithm-driven feature extraction vs. the random subspace method," Computational Statistics and Data Analysis, 2004 (submitted for review).
    • (2004) Computational Statistics and Data Analysis
    • Somorjai, R.L.1    Baumgartner, R.2    Ho, T.K.3    Himmelreich, U.4    Mountford, C.E.5    Sorrell, T.C.6
  • 13
    • 0034954011 scopus 로고    scopus 로고
    • NMR spectral quantitation by principal component analysis
    • R. Stoyanova and T. R. Brown, "NMR spectral quantitation by principal component analysis," NMR in Biomedicine, vol. 14(4), pp. 271-277, 2001.
    • (2001) NMR in Biomedicine , vol.14 , Issue.4 , pp. 271-277
    • Stoyanova, R.1    Brown, T.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.