Titlebook: Inductive Logic Programming; 32nd International C Elena Bellodi,Francesca Alessandra Lisi,Riccardo Z Conference proceedings 2023 The Editor

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Conference proceedings 2023ring November 13–15, 2023..The 11 full papers and 1 short paper included in this book were carefully reviewed and selected from 18 submissions. They cover all aspects of learning in logic, multi-relational data mining, statistical relational learning, graph and tree mining, learning in other (non-pr

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,Regularization in Probabilistic Inductive Logic Programming,ER+ on the same 12 datasets on which LIFTCOVER was tested and compared the performances in terms of AUC-ROC, AUC-PR, and execution times. Results show that in most cases Expectation Maximization with regularization improves the quality of the solutions.