Prediction of subacute ruminal acidosis based on milk fatty acids: a comparison of linear discriminant and support vector machine approaches for model development
- Author
- Ellen Colman (UGent) , Willem Waegeman (UGent) , Bernard De Baets (UGent) and Veerle Fievez (UGent)
- Organization
- 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
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-5946205
- 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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