Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds.
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%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
}
