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Elites' perceptions of women's representation in the Omani media. [PDF]
Al-Wahaibi S.
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Neurosymbolic AI Framework for Explainable Retinal Disease Classification From OCT Images. [PDF]
Miladinovic A +6 more
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Extending the boundaries of care: Collaboratively planning connections between rehabilitation and community resources for chronic pain self-management. [PDF]
George NC +8 more
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A Comparative Study of Three Neural-Symbolic Approaches to Inductive Logic Programming [PDF]
An interesting feature that traditional approaches to inductive logic programming are missing is the ability to treat noisy and non-logical data. Neural-symbolic approaches to inductive logic programming have been recently proposed to combine the ...
Federico Bergenti +2 more
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Inductive Synthesis of Logic Programs and Inductive Logic Programming
1994Inductive Logic Programming deals with the problem of generating logic programs from examples, normally given as ground atoms. We briefly survey older methods (Shapiro’s MIS and Plotkin’s least general generalizations) which have set the foundations of the field and inspired more recent top-down and bottom-up approaches, respectively.
Francesco Bergadano, Daniele Gunetti
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Phonotactics in Inductive Logic Programming
2004We examine the results of applying inductive logic programming (ILP) to a relatively simple linguistic task, that of recognizing monosyllables in one language. ILP is suited to linguistic problems given linguists' preference for formulating their theories in discrete rules, and because of ILP's ability to incorporate various background theories. But it
Nerbonne, J., Konstantopoulos, S.
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Inductive Logic Programming: Challenges
Proceedings of the AAAI Conference on Artificial Intelligence, 2016An overview of notable ILP areas, focusing on three invited talks at ILP 2015, two best student papers and the panel discussion on "ILP 25 Years".
Katsumi Inoue +2 more
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Inductive logic programming and learnability
ACM SIGART Bulletin, 1994The paper gives an overview of theoretical results in the rapidly growing field of inductive logic programming (ILP). The ILP learning situation (generality model, background knowledge, examples, hypotheses) is formally characterized and various restrictions of it are discussed in the light of their impact on learnability.
Jörg-Uwe Kietz, Saso Dzeroski
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