Learning from interpretation transition using differentiable logic programming semantics
Learning from interpretation transition using differentiable logic programming semantics
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New York: Springer US
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Language
English
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New York: Springer US
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The combination of learning and reasoning is an essential and challenging topic in neuro-symbolic research. Differentiable inductive logic programming is a technique for learning a symbolic knowledge representation from either complete, mislabeled, or incomplete observed facts using neural networks. In this paper, we propose a novel differentiable...
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Full title
Learning from interpretation transition using differentiable logic programming semantics
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TN_cdi_proquest_journals_2625124280
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2625124280
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ISSN
0885-6125
E-ISSN
1573-0565
DOI
10.1007/s10994-021-06058-8
