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Titlebook: Inductive Logic Programming; 31st International C Stephen H. Muggleton,Alireza Tamaddoni-Nezhad Conference proceedings 2024 The Editor(s) (

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書目名稱Inductive Logic Programming
副標(biāo)題31st International C
編輯Stephen H. Muggleton,Alireza Tamaddoni-Nezhad
視頻videohttp://file.papertrans.cn/464/463892/463892.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Inductive Logic Programming; 31st International C Stephen H. Muggleton,Alireza Tamaddoni-Nezhad Conference proceedings 2024 The Editor(s) (
描述.This book constitutes the refereed proceedings of the 31st International Conference on Inductive Logic Programming, ILP 2022, held during September 28-30, 2022..The 11 regular papers presented in this book were carefully reviewed and selected from 26 submissions .The papers in these proceedings represent the diversity and vitality in present ILP research, including statistical relational learning, transfer learning, scientific reasoning, learning temporal models, synthesis and planning, and argumentation and language.. .?.
出版日期Conference proceedings 2024
關(guān)鍵詞Inductive Logic Programming (ILP); Logical and relational learning; Multi-relational data mining; Logic
版次1
doihttps://doi.org/10.1007/978-3-031-55630-2
isbn_softcover978-3-031-55629-6
isbn_ebook978-3-031-55630-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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,Efficient Abductive Learning of?Microbial Interactions Using Meta Inverse Entailment,ractions in the ecosystem with state-of-art-of methods for abduction, such as Progol and Aleph. Our results show that PyGol has comparable predictive accuracies but is significantly faster than Progol and Aleph.
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