zugzwang.bib
1.53 KB
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@inproceedings{verreet2022inference,
title={Inference and learning with model uncertainty in probabilistic logic programs},
author={Verreet, Victor and Derkinderen, Vincent and Dos Martires, Pedro Zuidberg and De Raedt, Luc},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={36},
number={9},
pages={10060--10069},
year={2022}
}
@article{cropper2022inductive,
title={Inductive logic programming at 30},
author={Cropper, Andrew and Duman{\v{c}}i{\'c}, Sebastijan and Evans, Richard and Muggleton, Stephen H},
journal={Machine Learning},
volume={111},
number={1},
pages={147--172},
year={2022},
publisher={Springer}
}
@article{cozman2020joy,
title={The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference},
author={Cozman, Fabio Gagliardi and Mau{\'a}, Denis Deratani},
journal={International Journal of Approximate Reasoning},
volume={125},
pages={218--239},
year={2020},
publisher={Elsevier}
}
@book{riguzzi2022foundations,
title={Foundations of probabilistic logic programming: Languages, semantics, inference and learning},
author={Riguzzi, Fabrizio},
year={2022},
publisher={CRC Press}
}
@article{gebser2012answer,
title={Answer set solving in practice},
author={Gebser, Martin and Kaminski, Roland and Kaufmann, Benjamin and Schaub, Torsten},
journal={Synthesis lectures on artificial intelligence and machine learning},
volume={6},
number={3},
pages={1--238},
year={2012},
publisher={Morgan \& Claypool Publishers}
}