Multivariate Bayesian discrimination for varietal authentication of Chilean red wine
Author:
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://www.tandfonline.com/doi/pdf/10.1080/10256018808623883
Reference28 articles.
1. Agrawal, R., Bala, M. and Bala, R. Incremental framework for feature selection and Bayesian classification for multivariate normal distribution. Advance Computing Conference, 2009. IACC 2009, IEEE International. March6–7, Patiala, India. pp.1469–1474.
2. D. von Baer, C. Mardones, L. Gutiérrez, G. Hofmann, J. Becerra, A. Hitschfeld, and C. Vergara,Anthocyanin, Flavonol, and Shikimic Acid Profiles as a Tool to Verify Varietal Authenticity in Red Wines Produced in Chile, ACS Symposium Series Vol. 952, American Chemical Society, Washington, DC, 2007
3. Feature selection algorithms using Chilean wine chromatograms as examples
4. Method development for the determination of anthocyanins in red wines by high-performance liquid chromatography and classification of German red wines by means of multivariate statistical methods
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