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Learning logic programs through divide, constrain, and conquer

Abstract:
We introduce an inductive logic programming approach that combines classical divide-and-conquer search with modern constraint-driven search. Our anytime approach can learn optimal, recursive, and large programs and supports predicate invention. Our experiments on three domains (classification, inductive general game playing, and program synthesis) show that our approach can increase predictive accuracies and reduce learning times.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1609/aaai.v36i6.20596

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Hertford College
Role:
Author
Publisher:
Association for the Advancement of Artificial Intelligence Publisher's website
Volume:
36
Issue:
6
Pages:
6446-6453
Host title:
Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022)
Publication date:
2022-06-28
Acceptance date:
2021-12-01
Event title:
36th AAAI Conference on Artificial Intelligence (AAAI 2022)
Event location:
Online
Event website:
https://aaai.org/Conferences/AAAI-22/aaai22call/
Event start date:
2022-02-22T00:00:00Z
Event end date:
2022-03-01T00:00:00Z
DOI:
Language:
English
Keywords:
Pubs id:
1239175
Local pid:
pubs:1239175
Deposit date:
2022-02-11

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