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Beskrivning
This book constitutes the refereed conference proceedings of the 29th International Conference on Inductive Logic Programming, ILP 2019, held in Plovdiv, Bulgaria, in September 2019. The 11 papers presented were carefully reviewed and selected from numerous submissions.
CONNER: A Concurrent ILP Learner in Description Logic.- Towards Meta-interpretive Learning of Programming Language Semantics.- Towards an ILP Application in Machine Ethics.- On the Relation Between Loss Functions and T-Norms.- Rapid Restart Hill Climbing for Learning Description Logic Concepts.- Neural Networks for Relational Data.- Learning Logic Programs from Noisy State Transition Data.- A New Algorithm for Computing Least Generalization of a Set of Atoms.- LazyBum: Decision Tree Learning Using Lazy Propositionalization.- Weight Your Words: the Effect of Different Weighting Schemes on Wordification Performance.- Learning Probabilistic Logic Programs over Continuous Data.