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1
Lifted discriminative learning of probabilistic logic programs
Lifted discriminative learning of probabilistic logic programs
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Lifted discriminative learning of probabilistic logic programs

Machine learning, 2019-07, Vol.108 (7), p.1111-1135 [Peer Reviewed Journal]

The Author(s) 2018 ;Machine Learning is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-018-5750-0

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2
Logical reduction of metarules
Logical reduction of metarules
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Logical reduction of metarules

Machine learning, 2020-07, Vol.109 (7), p.1323-1369 [Peer Reviewed Journal]

The Author(s) 2019 ;The Author(s) 2019. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05834-x

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3
Inductive general game playing
Inductive general game playing
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Inductive general game playing

Machine learning, 2020-07, Vol.109 (7), p.1393-1434 [Peer Reviewed Journal]

The Author(s) 2019 ;The Author(s) 2019. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05843-w

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4
Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic Touch
Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic Touch
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Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic Touch

Electronic proceedings in theoretical computer science, 2021-09, Vol.345, p.141-154

ISSN: 2075-2180 ;EISSN: 2075-2180 ;DOI: 10.4204/EPTCS.345.27

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5
Magnetic skyrmion logic gates: conversion, duplication and merging of skyrmions
Magnetic skyrmion logic gates: conversion, duplication and merging of skyrmions
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Magnetic skyrmion logic gates: conversion, duplication and merging of skyrmions

Scientific reports, 2015-03, Vol.5 (1), p.9400-9400, Article 9400 [Peer Reviewed Journal]

Copyright Nature Publishing Group Mar 2015 ;Copyright © 2015, Macmillan Publishers Limited. All rights reserved 2015 Macmillan Publishers Limited. All rights reserved ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/srep09400 ;PMID: 25802991

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6
Introduction: Bilateralism and Proof-Theoretic Semantics (Part I)
Introduction: Bilateralism and Proof-Theoretic Semantics (Part I)
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Introduction: Bilateralism and Proof-Theoretic Semantics (Part I)

Bulletin of the Section of Logic, 2023, Vol.52 (2), p.101-108 [Peer Reviewed Journal]

Copyright University of Łódź 2023 ;ISSN: 0138-0680 ;EISSN: 2449-836X ;DOI: 10.18778/0138-0680.2023.12

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7
Probabilistic (logic) programming concepts
Probabilistic (logic) programming concepts
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Probabilistic (logic) programming concepts

Machine learning, 2015-07, Vol.100 (1), p.5-47 [Peer Reviewed Journal]

The Author(s) 2015 ;ISSN: 0885-6125 ;ISSN: 1573-0565 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-015-5494-z

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8
Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP
Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP
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Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP

Machine learning, 2018-07, Vol.107 (7), p.1119-1140 [Peer Reviewed Journal]

The Author(s) 2018 ;Machine Learning is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-018-5707-3

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9
Meta-Interpretive Learning from noisy images
Meta-Interpretive Learning from noisy images
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Meta-Interpretive Learning from noisy images

Machine learning, 2018-07, Vol.107 (7), p.1097-1118 [Peer Reviewed Journal]

The Author(s) 2018 ;Machine Learning is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-018-5710-8

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10
Neng-Fa Zhou. Constraint Solving and Planning with Picat
Neng-Fa Zhou. Constraint Solving and Planning with Picat
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Neng-Fa Zhou. Constraint Solving and Planning with Picat

Theory and practice of logic programming, 2017-01, Vol.17 (1), p.118-120 [Peer Reviewed Journal]

ISSN: 1471-0684 ;EISSN: 1475-3081 ;DOI: 10.1017/S1471068416000181

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11
Learning programs by learning from failures
Learning programs by learning from failures
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Learning programs by learning from failures

Machine learning, 2021-04, Vol.110 (4), p.801-856 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-020-05934-z

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12
Logic program invertibility in cryptography problems
Logic program invertibility in cryptography problems
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Logic program invertibility in cryptography problems

Journal of physics. Conference series, 2021-05, Vol.1902 (1), p.12049 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1902/1/012049

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13
Capacitated vehicle routing problem with pick-up and alternative delivery (CVRPPAD): model and implementation using hybrid approach
Capacitated vehicle routing problem with pick-up and alternative delivery (CVRPPAD): model and implementation using hybrid approach
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Capacitated vehicle routing problem with pick-up and alternative delivery (CVRPPAD): model and implementation using hybrid approach

Annals of operations research, 2019-02, Vol.273 (1-2), p.257-277 [Peer Reviewed Journal]

The Author(s) 2017 ;COPYRIGHT 2019 Springer ;Annals of Operations Research is a copyright of Springer, (2017). All Rights Reserved. © 2017. This work is published under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0254-5330 ;EISSN: 1572-9338 ;DOI: 10.1007/s10479-017-2722-x

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14
Induction and exploitation of subgoal automata for reinforcement learning
Induction and exploitation of subgoal automata for reinforcement learning
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Induction and exploitation of subgoal automata for reinforcement learning

AI Access Foundation. The original article was published in Journal of Artificial Intelligence Research and can be found at http://dx.doi.org/10.1613/jair.1.12372 info:eu-repo/semantics/openAccess ;ISSN: 1943-5037 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.1.12372

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15
Meta-interpretive learning: application to grammatical inference
Meta-interpretive learning: application to grammatical inference
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Meta-interpretive learning: application to grammatical inference

Machine learning, 2014-01, Vol.94 (1), p.25-49 [Peer Reviewed Journal]

The Author(s) 2013 ;The Author(s) 2014 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-013-5358-3 ;CODEN: MALEEZ

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16
ILP turns 20: Biography and future challenges
ILP turns 20: Biography and future challenges
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ILP turns 20: Biography and future challenges

Machine learning, 2012, Vol.86 (1), p.3-23 [Peer Reviewed Journal]

The Author(s) 2011 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-011-5259-2

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17
Learning Explanatory Rules from Noisy Data
Learning Explanatory Rules from Noisy Data
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Learning Explanatory Rules from Noisy Data

The Journal of artificial intelligence research, , Vol.61, p.1-64 [Peer Reviewed Journal]

2018. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.5714

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18
Markov logic networks
Markov logic networks
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Markov logic networks

Machine learning, 2006-02, Vol.62 (1-2), p.107-136 [Peer Reviewed Journal]

Springer Science + Business Media, Inc. 2006 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-006-5833-1

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19
Constructing generative logical models for optimisation problems using domain knowledge
Constructing generative logical models for optimisation problems using domain knowledge
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Constructing generative logical models for optimisation problems using domain knowledge

Machine learning, 2020-07, Vol.109 (7), p.1371-1392 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2019 ;The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2019. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05842-x

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20
Inductive logic programming at 30
Inductive logic programming at 30
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Inductive logic programming at 30

Machine learning, 2022-01, Vol.111 (1), p.147-172 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-06089-1

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