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Neural probabilistic logic programming in DeepProbLog

Artificial intelligence, 2021-09, Vol.298, p.103504, Article 103504

2021

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Probabilistic (logic) programming concepts

Machine learning, 2015-07, Vol.100 (1), p.5-47

2015

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Logical reduction of metarules

Machine learning, 2020-07, Vol.109 (7), p.1323-1369

2020

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Lifted discriminative learning of probabilistic logic programs

Machine learning, 2019-07, Vol.108 (7), p.1111-1135

2019

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Learning programs by learning from failures

Machine learning, 2021-04, Vol.110 (4), p.801-856

2021

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Inductive general game playing

Machine learning, 2020-07, Vol.109 (7), p.1393-1434

2020

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SWI-Prolog

Theory and practice of logic programming, 2012-01, Vol.12 (1-2), p.67-96

2012

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

Machine learning, 2018-07, Vol.107 (7), p.1119-1140

2018

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Incremental computation for structured argumentation over dynamic DeLP knowledge bases

Artificial intelligence, 2021-11, Vol.300, p.103553, Article 103553

2021

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A Critical Review of Inductive Logic Programming Techniques for Explainable AI

IEEE transaction on neural networks and learning systems, 2024-08, Vol.35 (8), p.10220-10236

2024

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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

2019

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A semantics for Hybrid Probabilistic Logic programs with function symbols

Artificial intelligence, 2021-05, Vol.294, p.103452, Article 103452

2021

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Meta-Interpretive Learning from noisy images

Machine learning, 2018-07, Vol.107 (7), p.1097-1118

2018

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Inductive logic programming at 30

Machine learning, 2022-01, Vol.111 (1), p.147-172

2022

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Meta-interpretive learning: application to grammatical inference

Machine learning, 2014-01, Vol.94 (1), p.25-49

2014

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Markov logic networks

Machine learning, 2006-02, Vol.62 (1-2), p.107-136

2006

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Fast relational learning using bottom clause propositionalization with artificial neural networks

Machine learning, 2014, Vol.94 (1), p.81-104

2014

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Learning any memory-less discrete semantics for dynamical systems represented by logic programs

Machine learning, 2022-10, Vol.111 (10), p.3593-3670

2022

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Inverse reinforcement learning through logic constraint inference

Machine learning, 2023-07, Vol.112 (7), p.2593-2618

2023

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Learning efficient logic programs

Machine learning, 2019-07, Vol.108 (7), p.1063-1083

2019

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Toward Semantic Communication Protocols: A Probabilistic Logic Perspective

IEEE journal on selected areas in communications, 2023-08, Vol.41 (8), p.2670-2686

2023

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Analysis and Transformation of Constrained Horn Clauses for Program Verification

Theory and practice of logic programming, 2022-11, Vol.22 (6), p.974-1042

2022

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On the equivalence between logic programming semantics and argumentation semantics

International journal of approximate reasoning, 2015-03, Vol.58, p.87-111

2015

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Probabilistic logic programming on the web

Software, practice & experience, 2016-10, Vol.46 (10), p.1381-1396

2016

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Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework

Machine learning, 2022-04, Vol.111 (4), p.1523-1549

2022

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Neural probabilistic logic programming in DeepProbLog

Probabilistic (logic) programming concepts

Logical reduction of metarules

Lifted discriminative learning of probabilistic logic programs

Learning programs by learning from failures

Inductive general game playing

SWI-Prolog

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

Incremental computation for structured argumentation over dynamic DeLP knowledge bases

A Critical Review of Inductive Logic Programming Techniques for Explainable AI

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

A semantics for Hybrid Probabilistic Logic programs with function symbols

Meta-Interpretive Learning from noisy images

Inductive logic programming at 30

Meta-interpretive learning: application to grammatical inference

Markov logic networks

Fast relational learning using bottom clause propositionalization with artificial neural networks

Learning any memory-less discrete semantics for dynamical systems represented by logic programs

Inverse reinforcement learning through logic constraint inference

Learning efficient logic programs

Toward Semantic Communication Protocols: A Probabilistic Logic Perspective

Analysis and Transformation of Constrained Horn Clauses for Program Verification

On the equivalence between logic programming semantics and argumentation semantics

Probabilistic logic programming on the web

Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework

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