%0 Journal Article %1 journals/jcamd/CannonABSMGM07 %A Cannon, Edward O. %A Amini, Ata %A Bender, Andreas %A Sternberg, Michael J. E. %A Muggleton, Stephen H. %A Glen, Robert C. %A Mitchell, John B. O. %D 2007 %J J. Comput. Aided Mol. Des. %K dblp %N 5 %P 269-280 %T Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds. %U http://dblp.uni-trier.de/db/journals/jcamd/jcamd21.html#CannonABSMGM07 %V 21

@article{journals/jcamd/CannonABSMGM07, added-at = {2021-08-31T00:00:00.000+0200}, author = {Cannon, Edward O. and Amini, Ata and Bender, Andreas and Sternberg, Michael J. E. and Muggleton, Stephen H. and Glen, Robert C. and Mitchell, John B. O.}, biburl = {https://www.bibsonomy.org/bibtex/22800d1dbfd007ae5a1a276f411b1851a/dblp}, ee = {https://www.wikidata.org/entity/Q51918959}, interhash = {6cda012eb25164afbcf55d80d1318122}, intrahash = {2800d1dbfd007ae5a1a276f411b1851a}, journal = {J. Comput. Aided Mol. Des.}, keywords = {dblp}, number = 5, pages = {269-280}, timestamp = {2024-04-08T16:00:04.000+0200}, title = {Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds.}, url = {http://dblp.uni-trier.de/db/journals/jcamd/jcamd21.html#CannonABSMGM07}, volume = 21, year = 2007 }