Support vector machine regression for the prediction of maize hybrid performance
- Author
- Steven Maenhout (UGent) , Bernard De Baets (UGent) , Geert Haesaert (UGent) and Erik Van Bockstaele (UGent)
- Organization
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-414329
- MLA
- Maenhout, Steven, et al. “Support Vector Machine Regression for the Prediction of Maize Hybrid Performance.” THEORETICAL AND APPLIED GENETICS, vol. 115, no. 7, Springer, 2007, pp. 1003–13.
- APA
- Maenhout, S., De Baets, B., Haesaert, G., & Van Bockstaele, E. (2007). Support vector machine regression for the prediction of maize hybrid performance. THEORETICAL AND APPLIED GENETICS, 115(7), 1003–1013.
- Chicago author-date
- Maenhout, Steven, Bernard De Baets, Geert Haesaert, and Erik Van Bockstaele. 2007. “Support Vector Machine Regression for the Prediction of Maize Hybrid Performance.” THEORETICAL AND APPLIED GENETICS 115 (7): 1003–13.
- Chicago author-date (all authors)
- Maenhout, Steven, Bernard De Baets, Geert Haesaert, and Erik Van Bockstaele. 2007. “Support Vector Machine Regression for the Prediction of Maize Hybrid Performance.” THEORETICAL AND APPLIED GENETICS 115 (7): 1003–1013.
- Vancouver
- 1.Maenhout S, De Baets B, Haesaert G, Van Bockstaele E. Support vector machine regression for the prediction of maize hybrid performance. THEORETICAL AND APPLIED GENETICS. 2007;115(7):1003–13.
- IEEE
- [1]S. Maenhout, B. De Baets, G. Haesaert, and E. Van Bockstaele, “Support vector machine regression for the prediction of maize hybrid performance,” THEORETICAL AND APPLIED GENETICS, vol. 115, no. 7, pp. 1003–1013, 2007.
@article{414329,
author = {{Maenhout, Steven and De Baets, Bernard and Haesaert, Geert and Van Bockstaele, Erik}},
issn = {{0040-5752}},
journal = {{THEORETICAL AND APPLIED GENETICS}},
language = {{eng}},
number = {{7}},
pages = {{1003--1013}},
publisher = {{Springer}},
title = {{Support vector machine regression for the prediction of maize hybrid performance}},
volume = {{115}},
year = {{2007}},
}