An application of subagging for the improvement of prediction accuracy of multivariate calibration models

The term bagging refers to a class of techniques in which an ensemble model is obtained by combining different member models generated by resampling the available data set. It has been shown that bagging can lead to substantial gains in accuracy for both classification and regression models, special...

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Veröffentlicht in:	Chemometrics and intelligent laboratory systems 2006-03, Vol.81 (1), p.60-67
Hauptverfasser:	Galvão, Roberto Kawakami Harrop, Araújo, Mário César Ugulino, Martins, Marcelo do Nascimento, José, Gledson Emidio, Pontes, Márcio José Coelho, Silva, Edvan Cirino, Saldanha, Teresa Cristina Bezerra
Format:	Artikel
Sprache:	eng
Schlagworte:	Bagging Diesel analysis Genetic algorithms MLR NIR spectrometry PLS SPA Subagging
Online-Zugang:	Volltext
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