An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates.

MLA

Roadknight, Christopher, et al. “An Ensemble of Machine Learning and Anti-Learning Methods for Predicting Tumour Patient Survival Rates.” 2015 IEEE International Conference on Data Science & Advanced Analytics (DSAA), Jan. 2015, pp. 1–8. EBSCOhost, https://doi.org/10.1109/DSAA.2015.7344863.

APA

Roadknight, C., Suryanarayanan, D., Aickelin, U., Scholefield, J., & Durrant, L. (2015). An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates. 2015 IEEE International Conference on Data Science & Advanced Analytics (DSAA), 1–8. https://doi.org/10.1109/DSAA.2015.7344863

Chicago

Roadknight, Christopher, Durga Suryanarayanan, Uwe Aickelin, John Scholefield, and Lindy Durrant. 2015. “An Ensemble of Machine Learning and Anti-Learning Methods for Predicting Tumour Patient Survival Rates.” 2015 IEEE International Conference on Data Science & Advanced Analytics (DSAA), January, 1–8. doi:10.1109/DSAA.2015.7344863.