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Volumn 121, Issue , 2013, Pages 82-89

Feature selection for functional PLS

Author keywords

Discrete wavelet transform; Feature selection; Krylov spaces; Partial least squares; Preconditioning; Relative importance factors

Indexed keywords

ARTICLE; MATHEMATICAL COMPUTING; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL; PROBLEM SOLVING; STATISTICAL ANALYSIS;

EID: 84872411277     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2012.12.001     Document Type: Article
Times cited : (4)

References (41)
  • 3
    • 0000521350 scopus 로고    scopus 로고
    • Wavelet decomposition approaches to statistical inverse problems
    • Abramovich F., Silverman B. Wavelet decomposition approaches to statistical inverse problems. Biometrika 1998, 85:115-129.
    • (1998) Biometrika , vol.85 , pp. 115-129
    • Abramovich, F.1    Silverman, B.2
  • 4
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: a practical and powerful approach to multiple testing
    • Benjamini Y., Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, Series B 1995, 57(1):289-300.
    • (1995) Journal of the Royal Statistical Society, Series B , vol.57 , Issue.1 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 5
    • 0030344230 scopus 로고    scopus 로고
    • Heuristics of instability and stabilization in model selection
    • Breiman L. Heuristics of instability and stabilization in model selection. The Annals of Statistics 1996, 24:2350-2383.
    • (1996) The Annals of Statistics , vol.24 , pp. 2350-2383
    • Breiman, L.1
  • 7
    • 1542469448 scopus 로고    scopus 로고
    • Bayesian wavelet regression on curves with application to a spectroscopic calibration problem
    • Brown P., Fearn T., Vannucci M. Bayesian wavelet regression on curves with application to a spectroscopic calibration problem. Journal of the American Statistical Association 2001, 96:398-408.
    • (2001) Journal of the American Statistical Association , vol.96 , pp. 398-408
    • Brown, P.1    Fearn, T.2    Vannucci, M.3
  • 9
    • 0033662470 scopus 로고    scopus 로고
    • Choosing the number of factors in partial least squares regression: estimating and minimizing the mean squared error of prediction
    • Denham M. Choosing the number of factors in partial least squares regression: estimating and minimizing the mean squared error of prediction. Journal of Chemometrics 2000, 14:351-361.
    • (2000) Journal of Chemometrics , vol.14 , pp. 351-361
    • Denham, M.1
  • 14
    • 84952149204 scopus 로고
    • A statistical view of some chemometrics regression tools
    • Frank I., Friedman J. A statistical view of some chemometrics regression tools. Technometrics 1993, 35:109-135.
    • (1993) Technometrics , vol.35 , pp. 109-135
    • Frank, I.1    Friedman, J.2
  • 19
    • 0000656711 scopus 로고
    • Partial least squares regression and statistical models
    • Helland I.S. Partial least squares regression and statistical models. Scandinavian Journal of Statistics 1990, 17:97-114.
    • (1990) Scandinavian Journal of Statistics , vol.17 , pp. 97-114
    • Helland, I.S.1
  • 22
    • 78650309373 scopus 로고    scopus 로고
    • Adaptively preconditioned Krylov spaces to identify irrelevant predictors
    • Kondylis A., Whittaker J. Adaptively preconditioned Krylov spaces to identify irrelevant predictors. Chemometrics and Intelligent Laboratory Systems 2010, 104(2):205-213.
    • (2010) Chemometrics and Intelligent Laboratory Systems , vol.104 , Issue.2 , pp. 205-213
    • Kondylis, A.1    Whittaker, J.2
  • 23
    • 50249088015 scopus 로고    scopus 로고
    • Penalized partial least squares with applications to b-spline transformations and functional data
    • Krämer N., Boulesteix A., Tutz G. Penalized partial least squares with applications to b-spline transformations and functional data. Chemometrics and Intelligent Laboratory Systems 2008, 94(1):60-69.
    • (2008) Chemometrics and Intelligent Laboratory Systems , vol.94 , Issue.1 , pp. 60-69
    • Krämer, N.1    Boulesteix, A.2    Tutz, G.3
  • 24
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: the wavelet representation
    • Mallat S.G. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 1989, 11(7):674-693.
    • (1989) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.G.1
  • 29
    • 0036062572 scopus 로고    scopus 로고
    • Exploiting the connection between PLS, Lanczos, and Conjugate Gradients: alternative proofs of some properties of PLS
    • Phatak A., de Hoog F. Exploiting the connection between PLS, Lanczos, and Conjugate Gradients: alternative proofs of some properties of PLS. Journal of Chemometrics 2002, 16:361-367.
    • (2002) Journal of Chemometrics , vol.16 , pp. 361-367
    • Phatak, A.1    de Hoog, F.2
  • 32
    • 35348906983 scopus 로고    scopus 로고
    • Functional principal component regression and functional partial least squares
    • Reiss P., Ogden R. Functional principal component regression and functional partial least squares. Journal of the American Statistical Association 2007, 102:984-996.
    • (2007) Journal of the American Statistical Association , vol.102 , pp. 984-996
    • Reiss, P.1    Ogden, R.2
  • 33
    • 50249150500 scopus 로고    scopus 로고
    • Potential applications of functional data analysis in chemometrics
    • Saeys W., De Ketelaere B., Darius P. Potential applications of functional data analysis in chemometrics. Journal of Chemometrics 2008, 22:335-344.
    • (2008) Journal of Chemometrics , vol.22 , pp. 335-344
    • Saeys, W.1    De Ketelaere, B.2    Darius, P.3
  • 35
    • 0003836207 scopus 로고    scopus 로고
    • Théorie et pratique, Technip, Paris
    • Tenenhaus M. La régression PLS 1998, Théorie et pratique, Technip, Paris.
    • (1998) La régression PLS
    • Tenenhaus, M.1
  • 37
    • 0036083139 scopus 로고    scopus 로고
    • Orthogonal projections to latent structures (O-PLS)
    • Trygg J., Wold S. Orthogonal projections to latent structures (O-PLS). Journal of Chemometrics 2002, 16:119-128.
    • (2002) Journal of Chemometrics , vol.16 , pp. 119-128
    • Trygg, J.1    Wold, S.2
  • 40
    • 0032981554 scopus 로고    scopus 로고
    • Estimation of hydrocarbon types in light gas oils and diesel fuels by ultraviolet absorption spectroscopy and multivariate calibration
    • Wentzell P., Andrews D.T., adn Walsh J., Cooley J., Spencer P. Estimation of hydrocarbon types in light gas oils and diesel fuels by ultraviolet absorption spectroscopy and multivariate calibration. Canadian Journal of Chemistry 1999, 77(3):391-400.
    • (1999) Canadian Journal of Chemistry , vol.77 , Issue.3 , pp. 391-400
    • Wentzell, P.1    Andrews, D.T.2    adn Walsh, J.3    Cooley, J.4    Spencer, P.5
  • 41
    • 0002555784 scopus 로고
    • The multivariate calibration problem in chemistry solved by the PLS method
    • Springer-Verlag, A. Ruhe, B. Kagström (Eds.) Lecture Notes in Mathematics
    • Wold S., Martens H., Wold H. The multivariate calibration problem in chemistry solved by the PLS method. Proc. Conf. Matrix Pencils 1983, 286-293. Springer-Verlag. A. Ruhe, B. Kagström (Eds.).
    • (1983) Proc. Conf. Matrix Pencils , pp. 286-293
    • Wold, S.1    Martens, H.2    Wold, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.