Abstract is missing.
- A Constrained Optimization Approach to Set the Parameters of Probabilistic Answer Set ProgramsDamiano Azzolini. 1-15 [doi]
- Regularization in Probabilistic Inductive Logic ProgrammingElisabetta Gentili, Alice Bizzarri, Damiano Azzolini, Riccardo Zese, Fabrizio Riguzzi. 16-29 [doi]
- Towards ILP-Based LTL f Passive LearningAntonio Ielo, Mark Law, Valeria Fionda, Francesco Ricca, Giuseppe De Giacomo, Alessandra Russo. 30-45 [doi]
- Learning Strategies of Inductive Logic Programming Using Reinforcement LearningTakeru Isobe, Katsumi Inoue. 46-61 [doi]
- Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer LearningThais Luca, Aline Paes, Gerson Zaverucha. 62-76 [doi]
- GNN Based Extraction of Minimal Unsatisfiable SubsetsSota Moriyama, Koji Watanabe, Katsumi Inoue. 77-92 [doi]
- What Do Counterfactuals Say About the World? Reconstructing Probabilistic Logic Programs from Answers to "What If?" QueriesKilian Rückschloß, Felix Weitkämper. 93-108 [doi]
- Few-Shot Learning of Diagnostic Rules for Neurodegenerative Diseases Using Inductive Logic ProgrammingDany Varghese, Roman Bauer 0001, Alireza Tamaddoni-Nezhad. 109-123 [doi]
- An Experimental Overview of Neural-Symbolic SystemsArne Vermeulen, Robin Manhaeve, Giuseppe Marra. 124-138 [doi]
- Statistical Relational Structure Learning with Scaled Weight ParametersFelix Weitkämper, Dmitriy Ravdin, Ramona Fabry. 139-153 [doi]
- A Review of Inductive Logic Programming Applications for Robotic SystemsYoussef Mahmoud Youssef, Martin E. Müller. 154-165 [doi]
- Meta-interpretive Learning from Fractal ImagesDaniel Cyrus, James Trewern, Alireza Tamaddoni-Nezhad. 166-174 [doi]