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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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Citation

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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 111 (2015): 179–185. Print.
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.
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: 179–185.
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.
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://dx.doi.org/10.1016/j.compag.2015.01.002},
  volume       = {111},
  year         = {2015},
}

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