Titlebook: Inductive Logic Programming; 23rd International C Gerson Zaverucha,Vítor Santos Costa,Aline Paes Conference proceedings 2014 Springer-Verla

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Tony Ribeiro,Katsumi Inoue,Chiaki Sakamarform in comparison to in-model approaches, we benchmarked them against deep ensembles, which can be considered the gold standard for in-model uncertainty estimation, as well as to the softmax outputs of a deep neural network as a baseline. Despite a slightly higher Brier score, the UW provides othe

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Sriraam Natarajan,Phillip Odom,Saket Joshi,Tushar Khot,Kristian Kersting,Prasad Tadepallirform in comparison to in-model approaches, we benchmarked them against deep ensembles, which can be considered the gold standard for in-model uncertainty estimation, as well as to the softmax outputs of a deep neural network as a baseline. Despite a slightly higher Brier score, the UW provides othe

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Rui Camacho,Ruy Ramos,Nuno A. Fonsecae EAST-ADL. The contribution of this work is (1) the definition of properties that indicate the correct application of the workflow using the language. The properties and a model integrating the work products of the workflow are used for the automated detection of errors (property checker) and the a