Learning acyclic probabilistic logic programs from data.
To learn a probabilistic logic program is to find a set of probabilistic rules that best fits some data, in order to explain how attributes relate to one another and to predict the occurrence of new instantiations of these attributes. In this work, we focus on acyclic programs, because in this c...
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| Language: | English |
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Universidade de São Paulo
2017
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| Online Access: | http://www.teses.usp.br/teses/disponiveis/3/3141/tde-27022018-090821/ |