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teaduslik artikkel wissenschaftlicher Artikel სამეცნიერო სტატია 2007年學術文章 2007年学术文章 scientific article published on 27 March 2007 2007年学术文章 vitskapeleg artikkel vetenskaplig artikel scienca artikolo научни чланак 2007 nî lūn-bûn articol științific artykuł naukowy naučni članak artikull shkencor article scientifique tieteellinen artikkeli bài báo khoa học scientific article published on 27 March 2007 artigo científico 2007年學術文章 2007年学术文章 article scientific 2007年學術文章 videnskabelig artikel 2007年の論文 2007年学术文章 vedecký článok bilimsel makale artículu científicu ২৭ মার্চ ২০০৭-এ প্রকাশিত বৈজ্ঞানিক নিবন্ধ tudományos cikk artigo científico מאמר מדעי article científic научная статья articolo scientifico scientific article published on 27 March 2007 2007年学术文章 2007年學術文章 مقالة علمية نشرت في 27 مارس 2007 vědecký článek 2007年学术文章 บทความทางวิทยาศาสตร์ artículo científico publicado en 2007 мақолаи илмӣ vitenskapelig artikkel artikulong pang-agham 2007년 논문 artikel ilmiah научни чланак наукова стаття, опублікована в березні 2007 artigo científico научна статия wetenschappelijk artikel 2007年學術文章 επιστημονικό άρθρο
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Ata Amini Edward O Cannon Stephen H Muggleton
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Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds. 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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Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds. 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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Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds. 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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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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