The successive projections algorithm for variable selection in spectroscopic multicomponent analysis
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M. C. U. Araújo | T. C. Saldanha | R. Galvão | T. Yoneyama | Henrique C. Chame | V. Visani | T. C. B. Saldanha
[1] M. Forina,et al. Iterative predictor weighting (IPW) PLS: a technique for the elimination of useless predictors in regression problems , 1999 .
[2] Roberto Todeschini,et al. Kohonen artificial neural networks as a tool for wavelength selection in multicomponent spectrofluorimetric PLS modelling: application to phenol, o-cresol, m-cresol and p-cresol mixtures , 1999 .
[3] John H. Kalivas,et al. Cyclic subspace regression with analysis of wavelength-selection criteria , 1999 .
[4] D B Kell,et al. Variable selection in discriminant partial least-squares analysis. , 1998, Analytical chemistry.
[5] D. Kell,et al. Variable selection in wavelet regression models , 1998 .
[6] Desire L. Massart,et al. Variable selection for neural networks in multivariate calibration , 1998 .
[7] D. Massart,et al. Application of wavelet transform to extract the relevant component from spectral data for multivariate calibration. , 1997, Analytical chemistry.
[8] D. Massart,et al. Elimination of uninformative variables for multivariate calibration. , 1996, Analytical chemistry.
[9] Svante Wold,et al. Hierarchical multiblock PLS and PC models for easier model interpretation and as an alternative to variable selection , 1996 .
[10] Israel Schechter,et al. Wavelength Selection for Simultaneous Spectroscopic Analysis. Experimental and Theoretical Study , 1996 .
[11] Riccardo Leardi,et al. Genetic Algorithms as a Tool for Wavelength Selection in Multivariate Calibration , 1995 .
[12] C. B. Lucasius,et al. Understanding and using genetic algorithms Part 2. Representation, configuration and hybridization , 1994 .
[13] C. B. Lucasius,et al. Genetic algorithms in wavelength selection: a comparative study , 1994 .
[14] R. Boggia,et al. Genetic algorithms as a strategy for feature selection , 1992 .
[15] John H. Kalivas,et al. Global optimization by simulated annealing with wavelength selection for ultraviolet-visible spectrophotometry , 1989 .
[16] G. Stewart. Collinearity and Least Squares Regression , 1987 .
[17] Satoshi Kawata,et al. Optimal Wavelength Selection for Quantitative Analysis , 1986 .
[18] David A. Belsley,et al. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity , 1980 .
[19] Charles L. Lawson,et al. Solving least squares problems , 1976, Classics in applied mathematics.
[20] Alejandro C. Olivieri,et al. Wavelength selection by net analyte signals calculated with multivariate factor-based hybrid linear analysis (HLA). A theoretical and experimental comparison with partial least-squares (PLS) , 1999 .
[21] C. Spiegelman,et al. Theoretical Justification of Wavelength Selection in PLS Calibration: Development of a New Algorithm. , 1998, Analytical Chemistry.
[22] R. Leardi. Application of a genetic algorithm to feature selection under full validation conditions and to outlier detection , 1994 .
[23] Wolfhard Wegscheider,et al. Spectrophotometric multicomponent analysis applied to trace metal determinations , 1985 .
[24] B. Kowalski,et al. Error propagation and optimal performance in multicomponent analysis , 1981 .
[25] Bruno O. Shubert,et al. Random variables and stochastic processes , 1979 .
[26] Sidney Addelman,et al. trans-Dimethanolbis(1,1,1-trifluoro-5,5-dimethylhexane-2,4-dionato)zinc(II) , 2008, Acta crystallographica. Section E, Structure reports online.
[27] E. Kreyszig. Introductory Functional Analysis With Applications , 1978 .
[28] Athanasios Papoulis,et al. Probability, Random Variables and Stochastic Processes , 1965 .