Cannon, E. O., Amini, A., Bender, A., Sternberg, M. J. E., Muggleton, S. H., Glen, R. C., & Mitchell, J. B. O. (2007). Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds. Journal of computer-aided molecular design, 21(5), 269-280. https://doi.org/10.1007/s10822-007-9113-3
Chicago-Zitierstil (17. Ausg.)Cannon, Edward O., Ata Amini, Andreas Bender, Michael J. E. Sternberg, Stephen H. Muggleton, Robert C. Glen, und John B. O. Mitchell. "Support Vector Inductive Logic Programming Outperforms the Naive Bayes Classifier and Inductive Logic Programming for the Classification of Bioactive Chemical Compounds." Journal of Computer-aided Molecular Design 21, no. 5 (2007): 269-280. https://doi.org/10.1007/s10822-007-9113-3.
MLA-Zitierstil (9. Ausg.)Cannon, Edward O., et al. "Support Vector Inductive Logic Programming Outperforms the Naive Bayes Classifier and Inductive Logic Programming for the Classification of Bioactive Chemical Compounds." Journal of Computer-aided Molecular Design, vol. 21, no. 5, 2007, pp. 269-280, https://doi.org/10.1007/s10822-007-9113-3.