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ILP turns 20: Biography and future challenges
Muggleton, Stephen, De Raedt, Luc, Poole, David, Bratko, Ivan, Flach, Peter, Inoue, Katsumi, Srinivasan, Ashwin
Published in Machine learning (01.01.2012)
Published in Machine learning (01.01.2012)
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FFNSL: Feed-Forward Neural-Symbolic Learner
Cunnington, Daniel, Law, Mark, Lobo, Jorge, Russo, Alessandra
Published in Machine learning (01.02.2023)
Published in Machine learning (01.02.2023)
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Extracting time-oriented relationships of nutrients to losing body fat mass using inductive logic programming
Ushikubo, Sho, Kanamori, Katsutoshi, Ohwada, Hayato
Published in 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCICC) (01.08.2016)
Published in 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCICC) (01.08.2016)
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Conference Proceeding
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Application of Inductive Logic Programming to Produce Emergent Behavior in an Artificial Society
Komura, Keigo, Mutoh, Atsuko, Inuzuka, Nobuhiro
Published in IIAI-AAI 2014 : proceedings : 2014 IIAI 3rd International Conference on Advanced Applied Informatics : Kitakyushu, Japan, 31 August - 4 September 2014 (01.08.2014)
Published in IIAI-AAI 2014 : proceedings : 2014 IIAI 3rd International Conference on Advanced Applied Informatics : Kitakyushu, Japan, 31 August - 4 September 2014 (01.08.2014)
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Conference Proceeding
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What Kinds of Relational Features Are Useful for Statistical Learning?
Saha, Amrita, Srinivasan, Ashwin, Ramakrishnan, Ganesh
Published in Inductive Logic Programming (2013)
Published in Inductive Logic Programming (2013)
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Book Chapter
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Multiple Instance Learning
Bello, Rafael, Zafra, Amelia, Vluymans, Sarah, Sánchez-Tarragó, Dánel, Cornelis, Chris, Herrera, Francisco, Ventura, Sebastián
Published in Multiple Instance Learning (2016)
Published in Multiple Instance Learning (2016)
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