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Volumn 42, Issue 11, 2009, Pages 1693-1710

Subspace regression ensemble method based on variable clustering for near-infrared spectroscopic calibration

Author keywords

Calibration; Ensemble; Near infrared spectroscopy

Indexed keywords

NICOTIANA TABACUM;

EID: 70349841560     PISSN: 00032719     EISSN: 1532236X     Source Type: Journal    
DOI: 10.1080/00032710902993845     Document Type: Article
Times cited : (14)

References (36)
  • 1
    • 1642475168 scopus 로고    scopus 로고
    • Chemometric calibration of infrared spectrometers: Selection and validation of variables by non-linear models
    • Benoudjit, N., E. Cools, M. Meurens, and M. Verleysen. 2004. Chemometric calibration of infrared spectrometers: Selection and validation of variables by non-linear models. Chemom. Intell. Lab. Syst. 70: 47-53.
    • (2004) Chemom. Intell. Lab. Syst. , vol.70 , pp. 47-53
    • Benoudjit, N.1    Cools, E.2    Meurens, M.3    Verleysen, M.4
  • 2
    • 54049104901 scopus 로고    scopus 로고
    • Control production of polyester resins by NIR spectroscopy
    • Blanco, M., J. Cruz, and M. Armengol. 2008. Control production of polyester resins by NIR spectroscopy. Microchem. J. 90: 118-123.
    • (2008) Microchem. J. , vol.90 , pp. 118-123
    • Blanco, M.1    Cruz, J.2    Armengol, M.3
  • 3
    • 33748938764 scopus 로고    scopus 로고
    • Least-squares support vector machines and near infrared spectroscopy for quantification of common adulterants in powdered milk
    • Borin, A., M. F. Ferrão, C. Mello, D. A. Maretto, and R. J. Poppi. 2006. Least-squares support vector machines and near infrared spectroscopy for quantification of common adulterants in powdered milk. Anal. Chim. Acta 579: 25-32.
    • Anal. Chim. Acta , vol.579 , pp. 25-32
    • Borin, A.1    Ferrão, M.F.2    Mello, C.3    Maretto, D.A.4    Poppi, R.J.5
  • 4
    • 0030196364 scopus 로고    scopus 로고
    • Stacked regressions
    • Breiman, L. 1996. Stacked regressions. Mach. Learn. 24: 49-64.
    • (1996) Mach. Learn. , vol.24 , pp. 49-64
    • Breiman, L.1
  • 5
    • 0035575477 scopus 로고    scopus 로고
    • Using iterated bagging to debias regressions
    • Breiman, L. 2001. Using iterated bagging to debias regressions. Mach. Learn. 45: 261-277.
    • (2001) Mach. Learn. , vol.45 , pp. 261-277
    • Breiman, L.1
  • 6
    • 38149087476 scopus 로고    scopus 로고
    • A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra
    • Cai, W. S., Y. K. Li, and X. G. Shao. 2008. A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra. Chemom. Intell. Lab. Syst. 90: 188-194.
    • (2008) Chemom. Intell. Lab. Syst. , vol.90 , pp. 188-194
    • Cai, W.S.1    Li, Y.K.2    Shao, X.G.3
  • 7
    • 33846387184 scopus 로고    scopus 로고
    • Theory and application of near infrared reflectance spectroscopy in determination of food quality
    • Cen, H. Y., and Y. He. 2007. Theory and application of near infrared reflectance spectroscopy in determination of food quality. Trends Food Sci. Tech. 18: 72-83.
    • (2007) Trends Food Sci. Tech. , vol.18 , pp. 72-83
    • Cen, H.Y.1    He, Y.2
  • 8
    • 34247505032 scopus 로고    scopus 로고
    • Combined wavelet transformartificial neural network use in tablet active content determination by near-infrared spectroscopy
    • Chalus, P., S. Walter, and M. Ulmschneider. 2007. Combined wavelet transformartificial neural network use in tablet active content determination by near-infrared spectroscopy. Anal. Chim. Acta 591: 219-224.
    • (2007) Anal. Chim. Acta , vol.591 , pp. 219-224
    • Chalus, P.1    Walter, S.2    Ulmschneider, M.3
  • 9
    • 34247508683 scopus 로고    scopus 로고
    • Gaussian process regression for multivariate spectroscopic calibration
    • Chen, T., J. Morris, and E. Martin. 2007. Gaussian process regression for multivariate spectroscopic calibration. Chemom. Intell. Lab. Syst. 87: 85-97.
    • (2007) Chemom. Intell. Lab. Syst. , vol.87 , pp. 85-97
    • Chen, T.1    Morris, J.2    Martin, E.3
  • 10
    • 11844254828 scopus 로고    scopus 로고
    • Artificial neural network for simultaneous determination of two components of compound paracetamol and diphenhydramine hydrochloride powder on NIR spectroscopy
    • Dou, L. Y., Y. Sun, Y. W. Ren, and Y. L. Ren. 2005. Artificial neural network for simultaneous determination of two components of compound paracetamol and diphenhydramine hydrochloride powder on NIR spectroscopy. Anal. Chim. Acta 528: 55-61.
    • (2005) Anal. Chim. Acta , vol.528 , pp. 55-61
    • Dou, L.Y.1    Sun, Y.2    Ren, Y.W.3    Ren, Y.L.4
  • 11
    • 0347482406 scopus 로고    scopus 로고
    • Spectral regions selection to improve prediction ability of PLS models by changeable size moving window partial least squares and searching combination moving window partial least squares
    • Du, Y. P., Y. Z. Liang, J. H. Jiang, R. J. Berry, and Y. Ozaki. 2004. Spectral regions selection to improve prediction ability of PLS models by changeable size moving window partial least squares and searching combination moving window partial least squares. Anal. Chim. Acta 501: 183-191.
    • (2004) Anal. Chim. Acta , vol.501 , pp. 183-191
    • Du, Y.P.1    Liang, Y.Z.2    Jiang, J.H.3    Berry, R.J.4    Ozaki, Y.5
  • 12
    • 0037017709 scopus 로고    scopus 로고
    • Clustering with dendrograms on interpretation variables
    • Forina, M., C. Armanino, and V. Raggio. 2002. Clustering with dendrograms on interpretation variables. Anal. Chim. Acta 454: 13-19.
    • (2002) Anal. Chim. Acta , vol.454 , pp. 13-19
    • Forina, M.1    Armanino, C.2    Raggio, V.3
  • 15
    • 0032139235 scopus 로고    scopus 로고
    • The random subspace method for constructing decision forests
    • Ho, T. K. 1998. The random subspace method for constructing decision forests. IEEE Trans. Pattern Anal. Mach. Intell. 20: 832-844.
    • (1998) IEEE Trans. Pattern Anal. Mach. Intell. , vol.20 , pp. 832-844
    • Ho, T.K.1
  • 16
    • 0037099131 scopus 로고    scopus 로고
    • Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and near-infrared spectroscopic data
    • Jiang, J. H., R. J. Berry, H. W. Siesier, and Y. Ozaki. 2002. Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and near-infrared spectroscopic data. Anal. Chem. 74: 3555-3565.
    • (2002) Anal. Chem. , vol.74 , pp. 3555-3565
    • Jiang, J.H.1    Berry, R.J.2    Siesier, H.W.3    Ozaki, Y.4
  • 17
    • 84894887900 scopus 로고
    • Computer aided design of experiments
    • Kennard, R. W., and L. A. Stone. 1969. Computer aided design of experiments. Technometrics 11: 137-148.
    • (1969) Technometrics , vol.11 , pp. 137-148
    • Kennard, R.W.1    Stone, L.A.2
  • 18
    • 24044461725 scopus 로고    scopus 로고
    • A novel multivariate regression approach based on kernel partial least squares with orthogonal signal correction
    • Kim, K., J. M. Lee, and I. B. Lee. 2005. A novel multivariate regression approach based on kernel partial least squares with orthogonal signal correction. Chemom. Intell. Lab. Syst. 79: 22-30.
    • (2005) Chemom. Intell. Lab. Syst. , vol.79 , pp. 22-30
    • Kim, K.1    Lee, J.M.2    Lee, I.B.3
  • 19
    • 16544376973 scopus 로고    scopus 로고
    • Agglomerative hierarchical clustering of continuous vari-ables based on mutual Information
    • Kojadinovic, I. 2004. Agglomerative hierarchical clustering of continuous vari-ables based on mutual Information. Comput. Stat. Data An. 46: 269-294.
    • (2004) Comput. Stat. Data An. , vol.46 , pp. 269-294
    • Kojadinovic, I.1
  • 20
    • 33646258047 scopus 로고    scopus 로고
    • Random subspace method for multivariate feature selection
    • Lai, C., M. J. T. Reinders, and L. Wessels. 2006. Random subspace method for multivariate feature selection. Pattern Recogn. Lett. 27: 1067-1076.
    • (2006) Pattern Recogn. Lett. , vol.27 , pp. 1067-1076
    • Lai, C.1    Reinders, M.J.T.2    Wessels, L.3
  • 21
    • 33947320459 scopus 로고    scopus 로고
    • A consensus least squares support vector regression (LS-SVR) for analysis of near-infrared spectra of plant samples
    • Li, Y. K., X. G. Shao, and W. S. Cai. 2007. A consensus least squares support vector regression (LS-SVR) for analysis of near-infrared spectra of plant samples. Talanta 72: 217-222.
    • (2007) Talanta , vol.72 , pp. 217-222
    • Li, Y.K.1    Shao, X.G.2    Cai, W.S.3
  • 23
    • 34247350310 scopus 로고    scopus 로고
    • Near-infrared spectroscopy applications in pharmaceutical analysis
    • Luypaert, J., D. L. Massart, and Y. V. Heyden. 2007. Near-infrared spectroscopy applications in pharmaceutical analysis. Talanta 72: 865-883.
    • (2007) Talanta , vol.72 , pp. 865-883
    • Luypaert, J.1    Massart, D.L.2    Heyden, Y.V.3
  • 24
    • 33644544790 scopus 로고    scopus 로고
    • A new method for multivariate calibration
    • Marbach, R. 2005. A new method for multivariate calibration. J. Near Infrared Spcetrosc. 13: 241-254.
    • (2005) J. Near Infrared Spcetrosc. , vol.13 , pp. 241-254
    • Marbach, R.1
  • 26
    • 33846359969 scopus 로고    scopus 로고
    • Near-infrared diffuse reflectance spectroscopy and neural networks for measuring nutritional parameters in chocolate samples
    • Moros, J., F. A. Inon, S. Garrigues, and M. de la Guardia. 2007. Near-infrared diffuse reflectance spectroscopy and neural networks for measuring nutritional parameters in chocolate samples. Anal. Chim. Acta 584: 215-222.
    • (2007) Anal. Chim. Acta , vol.584 , pp. 215-222
    • Moros, J.1    Inon, F.A.2    Garrigues, S.3    de la Guardia, M.4
  • 27
    • 0037470203 scopus 로고    scopus 로고
    • Separation of data on the training and test set for modelling: A case study for modelling of five colour properties of a white pigment
    • Rajer-Kanduč, K., J. Zupanb, and N. Majcen. 2003. Separation of data on the training and test set for modelling: A case study for modelling of five colour properties of a white pigment. Chem. Intell. Lab. Syst. 65: 221-229.
    • (2003) Chem. Intell. Lab. Syst. , vol.65 , pp. 221-229
    • Rajer-Kanduč, K.1    Zupanb, J.2    Majcen, N.3
  • 28
    • 34548249602 scopus 로고    scopus 로고
    • Study of the feasibility of distinguishing cigarettes of different brands using an Adaboost algorithm and near-infrared spectroscopy
    • Tan, C., M. L. Li, and X. Qin. 2007. Study of the feasibility of distinguishing cigarettes of different brands using an Adaboost algorithm and near-infrared spectroscopy. Anal. Bioanal. Chem. 389: 667-674.
    • (2007) Anal. Bioanal. Chem. , vol.389 , pp. 667-674
    • Tan, C.1    Li, M.L.2    Qin, X.3
  • 29
    • 51349164718 scopus 로고    scopus 로고
    • An ensemble method based on a self-organizing map for near-infrared spectral calibration of complex beverage samples
    • Tan, C., X. Qin, and M. L. Li. 2008. An ensemble method based on a self-organizing map for near-infrared spectral calibration of complex beverage samples. Anal. Bioanal. Chem. 392: 515-521.
    • (2008) Anal. Bioanal. Chem. , vol.392 , pp. 515-521
    • Tan, C.1    Qin, X.2    Li, M.L.3
  • 31
    • 10444238133 scopus 로고    scopus 로고
    • Diversity in search strategies for ensemble feature selection
    • Tsymbal, A., M. Pechenizkiy, and M. P. Cunningham. 2005. Diversity in search strategies for ensemble feature selection. Inf. Fusion 6: 83-98.
    • (2005) Inf. Fusion , vol.6 , pp. 83-98
    • Tsymbal, A.1    Pechenizkiy, M.2    Cunningham, M.P.3
  • 32
    • 33947126512 scopus 로고    scopus 로고
    • Robust modelling of soil diffuse reflectance spectra by bagging-partial least squares regression
    • Viscarra Rossel, R. A. 2007. Robust modelling of soil diffuse reflectance spectra by bagging-partial least squares regression. J. Near Infrared Spectrosc. 15: 39-47.
    • (2007) J. Near Infrared Spectrosc. , vol.15 , pp. 39-47
    • Viscarra Rossel, R.A.1
  • 33
    • 48049110491 scopus 로고    scopus 로고
    • Quantitative determination of acyclovir in plasma by near infrared spectroscopy
    • Yu, L. Y., and B. R. Xiang. 2008. Quantitative determination of acyclovir in plasma by near infrared spectroscopy. Microchem. J. 90: 63-66.
    • (2008) Microchem. J. , vol.90 , pp. 63-66
    • Yu, L.Y.1    Xiang, B.R.2
  • 34
    • 20444483774 scopus 로고    scopus 로고
    • Appli-cation of boosting to classification problems in chemometrics
    • Zhang, M. H., Q. S. Xu, F. Daeyaert, P. J. Lewi, and D. L. Massart. 2005. Appli-cation of boosting to classification problems in chemometrics. Anal. Chim. Acta 544: 167-176.
    • (2005) Anal. Chim. Acta , vol.544 , pp. 167-176
    • Zhang, M.H.1    Xu, Q.S.2    Daeyaert, F.3    Lewi, P.J.4    Massart, D.L.5
  • 35
    • 14744269749 scopus 로고    scopus 로고
    • Boosting partial least squares
    • Zhang, M. H., Q. S. Xu, and D. L. Massart. 2005. Boosting partial least squares. Anal. Chem. 77: 1423-1431.
    • (2005) Anal. Chem. , vol.77 , pp. 1423-1431
    • Zhang, M.H.1    Xu, Q.S.2    Massart, D.L.3
  • 36
    • 33745889031 scopus 로고    scopus 로고
    • Support vector regression for determination of component of compound oxytetracycline powder on near-infrared spectroscopy
    • Zou, T. T., Y. Dou, H. Mi, J. Y. Zou, and Y. L. Ren. 2006. Support vector regression for determination of component of compound oxytetracycline powder on near-infrared spectroscopy. Anal. Biochem. 355: 1-7.
    • (2006) Anal. Biochem. , vol.355 , pp. 1-7
    • Zou, T.T.1    Dou, Y.2    Mi, H.3    Zou, J.Y.4    Ren, Y.L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.