Special Issue of the Inductive Logic Programming (ILP) 2019

Participating journal: Machine Learning

Guest Editors: Dimitar Kazakov, Filip Zelezny

Machine Learning

Journal

Machine Learning

Machine Learning is an international forum focusing on computational approaches to learning.

Dimitar Kazakov

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Filip Zelezny

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Showing 1-7 of 7 articles

Guest editors’ introduction: special issue on Inductive Logic Programming (ILP 2019)
Dimitar Kazakov
Filip Železný
EditorialNotes 29 June 2020 Pages: 1287 - 1288
Propositionalization and embeddings: two sides of the same coin
Nada Lavrač
Blaž Škrlj
Marko Robnik-Šikonja
OriginalPaper Open access 28 June 2020 Pages: 1465 - 1507
Transfer learning by mapping and revising boosted relational dependency networks
Rodrigo Azevedo Santos
Aline Paes
Gerson Zaverucha
OriginalPaper 11 May 2020 Pages: 1435 - 1463
Learning higher-order logic programs
Andrew Cropper
Rolf Morel
Stephen Muggleton
OriginalPaper Open access 03 December 2019 Pages: 1289 - 1322
Logical reduction of metarules
Andrew Cropper
Sophie Tourret
OriginalPaper Open access 20 November 2019 Pages: 1323 - 1369
Inductive general game playing
Andrew Cropper
Richard Evans
Mark Law
OriginalPaper Open access 18 November 2019 Pages: 1393 - 1434
Constructing generative logical models for optimisation problems using domain knowledge
Ashwin Srinivasan
Lovekesh Vig
Gautam Shroff
OriginalPaper 13 November 2019 Pages: 1371 - 1392