Suchergebnisse - "Special Issue of the Inductive Logic Programming (ILP) 2019"

Learning higher-order logic programs von Cropper, Andrew, Morel, Rolf, Muggleton, Stephen

“… A key feature of inductive logic programming is its ability to learn first-order programs, which are intrinsically more expressive than propositional programs …”
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Inductive general game playing von Cropper, Andrew, Evans, Richard, Law, Mark

“… General game playing (GGP) is a framework for evaluating an agent’s general intelligence across a wide range of tasks. In the GGP competition, an agent is …”
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Logical reduction of metarules von Cropper, Andrew, Tourret, Sophie

“… Many forms of inductive logic programming (ILP) use metarules , second-order Horn clauses, to define the structure of learnable programs and thus the …”
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Propositionalization and embeddings: two sides of the same coin von Lavrač, Nada, Škrlj, Blaž, Robnik-Šikonja, Marko

“… Data preprocessing is an important component of machine learning pipelines, which requires ample time and resources. An integral part of preprocessing is data …”
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Transfer learning by mapping and revising boosted relational dependency networks von Azevedo Santos, Rodrigo, Paes, Aline, Zaverucha, Gerson

“… Statistical machine learning algorithms usually assume the availability of data of considerable size to train the models. However, they would fail in …”
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Guest editors’ introduction: special issue on Inductive Logic Programming (ILP 2019) von Kazakov, Dimitar, Železný, Filip

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Constructing generative logical models for optimisation problems using domain knowledge von Srinivasan, Ashwin, Vig, Lovekesh, Shroff, Gautam

“… In this paper we seek to identify data instances with a low value of some objective (or cost) function. Normally posed as optimisation problems, our interest …”
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