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ORCID31st ILP 2022: Windsor Great Park, UK
- Stephen H. Muggleton, Alireza Tamaddoni-Nezhad:
Inductive Logic Programming - 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28-30, 2022, Proceedings. Lecture Notes in Computer Science 13779, Springer 2024, ISBN 978-3-031-55629-6 - Damiano Azzolini, Elena Bellodi, Fabrizio Riguzzi:
Learning the Parameters of Probabilistic Answer Set Programs. 1-14 - Verena Blaschke
, Thora Daneyko, Jekaterina Kaparina, Zhuge Gao, Johannes Dellert:
Navigable Atom-Rule Interactions in PSL Models Enhanced by Rule Verbalizations, with an Application to Etymological Inference. 15-24 - Aditya Challa, Ashwin Srinivasan, Michael Bain, Gautam Shroff:
A Program-Synthesis Challenge for ARC-Like Tasks. 25-39 - Bettina Finzel, Simon P. Kuhn, David E. Tafler, Ute Schmid:
Explaining with Attribute-Based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust. 40-51 - Nikos Katzouris, Georgios Paliouras:
Learning Automata-Based Complex Event Patterns in Answer Set Programming. 52-68 - Pat Langley:
Learning Hierarchical Problem Networks for Knowledge-Based Planning. 69-83 - Thais Luca, Aline Paes, Gerson Zaverucha:
Combining Word Embeddings-Based Similarity Measures for Transfer Learning Across Relational Domains. 84-99 - Maurizio Proietti, Francesca Toni:
Learning Assumption-Based Argumentation Frameworks. 100-116 - Tony Ribeiro, Maxime Folschette, Morgan Magnin, Kotaro Okazaki, Lo Kuo-Yen, Katsumi Inoue:
Diagnosis of Event Sequences with LFIT. 117-126 - Dany Varghese, Didac Barroso-Bergada, David A. Bohan, Alireza Tamaddoni-Nezhad:
Efficient Abductive Learning of Microbial Interactions Using Meta Inverse Entailment. 127-141 - Felix Weitkämper:
Functional Lifted Bayesian Networks: Statistical Relational Learning and Reasoning with Relative Frequencies. 142-156
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