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
Citace podle Chicago (17th ed.)Cannon, Edward O., Ata Amini, Andreas Bender, Michael J. E. Sternberg, Stephen H. Muggleton, Robert C. Glen, a 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.
Citace podle MLA (9th ed.)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.