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Prediction of subacute ruminal acidosis based on milk fatty acids: a comparison of linear discriminant and support vector machine approaches for model development

Ellen Colman (UGent) , Willem Waegeman (UGent) , Bernard De Baets (UGent) and Veerle Fievez (UGent)
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Keywords
Acidosis, Classification, Support vector machines, Linear discriminant analysis, RUMEN FERMENTATION PATTERN, ROC ANALYSIS, DAIRY-COWS, PH, LIPOPOLYSACCHARIDE, INFLAMMATION, INDUCTION, ENDOTOXIN, TRIGGERS, PROFILE

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MLA
Colman, Ellen, et al. “Prediction of Subacute Ruminal Acidosis Based on Milk Fatty Acids: A Comparison of Linear Discriminant and Support Vector Machine Approaches for Model Development.” COMPUTERS AND ELECTRONICS IN AGRICULTURE, vol. 111, 2015, pp. 179–85, doi:10.1016/j.compag.2015.01.002.
APA
Colman, E., Waegeman, W., De Baets, B., & Fievez, V. (2015). Prediction of subacute ruminal acidosis based on milk fatty acids: a comparison of linear discriminant and support vector machine approaches for model development. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 111, 179–185. https://doi.org/10.1016/j.compag.2015.01.002
Chicago author-date
Colman, Ellen, Willem Waegeman, Bernard De Baets, and Veerle Fievez. 2015. “Prediction of Subacute Ruminal Acidosis Based on Milk Fatty Acids: A Comparison of Linear Discriminant and Support Vector Machine Approaches for Model Development.” COMPUTERS AND ELECTRONICS IN AGRICULTURE 111: 179–85. https://doi.org/10.1016/j.compag.2015.01.002.
Chicago author-date (all authors)
Colman, Ellen, Willem Waegeman, Bernard De Baets, and Veerle Fievez. 2015. “Prediction of Subacute Ruminal Acidosis Based on Milk Fatty Acids: A Comparison of Linear Discriminant and Support Vector Machine Approaches for Model Development.” COMPUTERS AND ELECTRONICS IN AGRICULTURE 111: 179–185. doi:10.1016/j.compag.2015.01.002.
Vancouver
1.
Colman E, Waegeman W, De Baets B, Fievez V. Prediction of subacute ruminal acidosis based on milk fatty acids: a comparison of linear discriminant and support vector machine approaches for model development. COMPUTERS AND ELECTRONICS IN AGRICULTURE. 2015;111:179–85.
IEEE
[1]
E. Colman, W. Waegeman, B. De Baets, and V. Fievez, “Prediction of subacute ruminal acidosis based on milk fatty acids: a comparison of linear discriminant and support vector machine approaches for model development,” COMPUTERS AND ELECTRONICS IN AGRICULTURE, vol. 111, pp. 179–185, 2015.
@article{5946205,
  author       = {{Colman, Ellen and Waegeman, Willem and De Baets, Bernard and Fievez, Veerle}},
  issn         = {{0168-1699}},
  journal      = {{COMPUTERS AND ELECTRONICS IN AGRICULTURE}},
  keywords     = {{Acidosis,Classification,Support vector machines,Linear discriminant analysis,RUMEN FERMENTATION PATTERN,ROC ANALYSIS,DAIRY-COWS,PH,LIPOPOLYSACCHARIDE,INFLAMMATION,INDUCTION,ENDOTOXIN,TRIGGERS,PROFILE}},
  language     = {{eng}},
  pages        = {{179--185}},
  title        = {{Prediction of subacute ruminal acidosis based on milk fatty acids: a comparison of linear discriminant and support vector machine approaches for model development}},
  url          = {{http://doi.org/10.1016/j.compag.2015.01.002}},
  volume       = {{111}},
  year         = {{2015}},
}

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