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ORCID29th ILP 2019: Plovdiv, Bulgaria
- Dimitar Kazakov
, Can Erten:
Inductive Logic Programming - 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3-5, 2019, Proceedings. Lecture Notes in Computer Science 11770, Springer 2020, ISBN 978-3-030-49209-0 - Eyad Algahtani, Dimitar Kazakov:
CONNER: A Concurrent ILP Learner in Description Logic. 1-15 - Sándor Bartha, James Cheney:
Towards Meta-interpretive Learning of Programming Language Semantics. 16-25 - Abeer Dyoub, Stefania Costantini, Francesca A. Lisi:
Towards an ILP Application in Machine Ethics. 26-35 - Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori:
On the Relation Between Loss Functions and T-Norms. 36-45 - Yingbing Hua, Björn Hein:
Rapid Restart Hill Climbing for Learning Description Logic Concepts. 46-61 - Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan:
Neural Networks for Relational Data. 62-71 - Yin Jun Phua, Katsumi Inoue:
Learning Logic Programs from Noisy State Transition Data. 72-80 - Hien D. Nguyen, Chiaki Sakama:
A New Algorithm for Computing Least Generalization of a Set of Atoms. 81-97 - Jonas Schouterden, Jesse Davis, Hendrik Blockeel:
LazyBum: Decision Tree Learning Using Lazy Propositionalization. 98-113 - Tatiana Sciammarella, Gerson Zaverucha:
Weight Your Words: The Effect of Different Weighting Schemes on Wordification Performance. 114-128 - Stefanie Speichert, Vaishak Belle:
Learning Probabilistic Logic Programs over Continuous Data. 129-144
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