Mining data from milk mid-infrared spectroscopy and animal characteristics to improve the prediction of dairy cow's liveweight using feature selection algorithms based on partial least squares and Elastic Net regressions
Titel:
Mining data from milk mid-infrared spectroscopy and animal characteristics to improve the prediction of dairy cow's liveweight using feature selection algorithms based on partial least squares and Elastic Net regressions
Auteur:
Zhang, Lei Tedde, Anthony Ho, Phuong Grelet, Clément Dehareng, Frédéric Froidmont, Eric Gengler, Nicolas Brostaux, Yves Hailemariam, Dagnachew Pryce, Jennie Soyeurt, Hélène