These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
262 related articles for article (PubMed ID: 21396187)
1. Elastic net grouping variable selection combined with partial least squares regression (EN-PLSR) for the analysis of strongly multi-collinear spectroscopic data. Fu GH; Xu QS; Li HD; Cao DS; Liang YZ Appl Spectrosc; 2011 Apr; 65(4):402-8. PubMed ID: 21396187 [TBL] [Abstract][Full Text] [Related]
3. Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration. Li H; Liang Y; Xu Q; Cao D Anal Chim Acta; 2009 Aug; 648(1):77-84. PubMed ID: 19616692 [TBL] [Abstract][Full Text] [Related]
4. Genetic algorithm interval partial least squares regression combined successive projections algorithm for variable selection in near-infrared quantitative analysis of pigment in cucumber leaves. Zou X; Zhao J; Mao H; Shi J; Yin X; Li Y Appl Spectrosc; 2010 Jul; 64(7):786-94. PubMed ID: 20615293 [TBL] [Abstract][Full Text] [Related]
5. Effects of nonlinearities and uncorrelated or correlated errors in realistic simulated data on the prediction abilities of augmented classical least squares and partial least squares. Melgaard DK; Haaland DM Appl Spectrosc; 2004 Sep; 58(9):1065-73. PubMed ID: 15479523 [TBL] [Abstract][Full Text] [Related]
6. Classification of structurally related commercial contrast media by near infrared spectroscopy. Yip WL; Soosainather TC; Dyrstad K; Sande SA J Pharm Biomed Anal; 2014 Mar; 90():148-60. PubMed ID: 24374816 [TBL] [Abstract][Full Text] [Related]
7. [Double-layer partial least squares method and its application to NIR spectroscopic quantitative analysis]. Cheng Z Guang Pu Xue Yu Guang Pu Fen Xi; 2007 Jun; 27(6):1127-30. PubMed ID: 17763774 [TBL] [Abstract][Full Text] [Related]
8. A new and efficient variable selection algorithm based on ant colony optimization. Applications to near infrared spectroscopy/partial least-squares analysis. Allegrini F; Olivieri AC Anal Chim Acta; 2011 Aug; 699(1):18-25. PubMed ID: 21704753 [TBL] [Abstract][Full Text] [Related]
9. Multi-objective genetic algorithm-based sample selection for partial least squares model building with applications to near-infrared spectroscopic data. Shinzawa H; Li B; Nakagawa T; Maruo K; Ozaki Y Appl Spectrosc; 2006 Jun; 60(6):631-40. PubMed ID: 16808864 [TBL] [Abstract][Full Text] [Related]
10. Determination of total nitrogen content, pH, density, refractive index, and brix in Thai fish sauces and their classification by near-infrared spectroscopy with searching combination moving window partial least squares. Ritthiruangdej P; Kasemsumran S; Suwonsichon T; Haruthaithanasan V; Thanapase W; Ozaki Y Analyst; 2005 Oct; 130(10):1439-45. PubMed ID: 16172671 [TBL] [Abstract][Full Text] [Related]
11. Prediction of oil and oleic acid concentrations in individual corn (Zea mays L.) kernels using near-infrared reflectance hyperspectral imaging and multivariate analysis. Weinstock BA; Janni J; Hagen L; Wright S Appl Spectrosc; 2006 Jan; 60(1):9-16. PubMed ID: 16454902 [TBL] [Abstract][Full Text] [Related]
12. Variable selection and interpretation in structure-affinity correlation modeling of estrogen receptor binders. Marini F; Roncaglioni A; Novic M J Chem Inf Model; 2005; 45(6):1507-19. PubMed ID: 16309247 [TBL] [Abstract][Full Text] [Related]
13. Variable-weighted least-squares support vector machine for multivariate spectral analysis. Zou HY; Wu HL; Fu HY; Tang LJ; Xu L; Nie JF; Yu RQ Talanta; 2010 Mar; 80(5):1698-701. PubMed ID: 20152399 [TBL] [Abstract][Full Text] [Related]
14. Moving window cross validation: a new cross validation method for the selection of a rational number of components in a partial least squares calibration model. Kasemsumran S; Du YP; Li BY; Maruo K; Ozaki Y Analyst; 2006 Apr; 131(4):529-37. PubMed ID: 16568170 [TBL] [Abstract][Full Text] [Related]
15. Hybrid variable selection in visible and near-infrared spectral analysis for non-invasive quality determination of grape juice. Wu D; He Y; Nie P; Cao F; Bao Y Anal Chim Acta; 2010 Feb; 659(1-2):229-37. PubMed ID: 20103129 [TBL] [Abstract][Full Text] [Related]
16. Variable selection, outlier detection, and figures of merit estimation in a partial least-squares regression multivariate calibration model. A case study for the determination of quality parameters in the alcohol industry by near-infrared spectroscopy. Valderrama P; Braga JW; Poppi RJ J Agric Food Chem; 2007 Oct; 55(21):8331-8. PubMed ID: 17927144 [TBL] [Abstract][Full Text] [Related]
17. Mutual information-induced interval selection combined with kernel partial least squares for near-infrared spectral calibration. Tan C; Li M Spectrochim Acta A Mol Biomol Spectrosc; 2008 Dec; 71(4):1266-73. PubMed ID: 18462989 [TBL] [Abstract][Full Text] [Related]
18. Genetic algorithm optimisation combined with partial least squares regression and mutual information variable selection procedures in near-infrared quantitative analysis of cotton-viscose textiles. Durand A; Devos O; Ruckebusch C; Huvenne JP Anal Chim Acta; 2007 Jul; 595(1-2):72-9. PubMed ID: 17605985 [TBL] [Abstract][Full Text] [Related]
19. Determination of total polyphenols content in green tea using FT-NIR spectroscopy and different PLS algorithms. Chen Q; Zhao J; Liu M; Cai J; Liu J J Pharm Biomed Anal; 2008 Feb; 46(3):568-73. PubMed ID: 18068323 [TBL] [Abstract][Full Text] [Related]
20. [The pear acidity quantified analysis using PLS methods and Fourier transform near-infrared spectroscopy]. Liu YD; Ying YB Guang Pu Xue Yu Guang Pu Fen Xi; 2006 Aug; 26(8):1454-6. PubMed ID: 17058944 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]