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Volumn 642, Issue 1-2, 2009, Pages 89-93

A Backward Variable Selection method for PLS regression (BVSPLS)

Author keywords

Near infrared spectroscopy; Partial least squares; Regression; Variable selection

Indexed keywords

CHEMOMETRICS; DATA SETS; FULL SPECTRUMS; PARTIAL LEAST SQUARES; PLS MODELS; PLS REGRESSIONS; PREDICTION PERFORMANCE; REGRESSION; ROOT-MEAN-SQUARE ERROR OF PREDICTIONS; SAMPLE COMPOSITIONS; SELECTION CRITERION; STEP BY STEPS; TEST SETS; VARIABLE SELECTION; VARIABLE SELECTION METHODS; WRAPPER METHODS;

EID: 67349198730     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2008.12.002     Document Type: Article
Times cited : (95)

References (17)
  • 3
    • 33745202625 scopus 로고    scopus 로고
    • L. Talavera, in: A. Fazel Famili, Joost N. Kok, José María Peña, Arno Siebes, A. J. Feelders (Eds.), Advances in Intelligent Data Analysis VI, 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings. Lecture Notes in Computer Science 3646 Springer 2005, ISBN 3-540-28795-7, pp. 440-451.
    • L. Talavera, in: A. Fazel Famili, Joost N. Kok, José María Peña, Arno Siebes, A. J. Feelders (Eds.), Advances in Intelligent Data Analysis VI, 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings. Lecture Notes in Computer Science 3646 Springer 2005, ISBN 3-540-28795-7, pp. 440-451.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.