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ORCID23. ILP 2013: Rio de Janeiro, Brazil
- Gerson Zaverucha, Vítor Santos Costa
, Aline Paes:
Inductive Logic Programming - 23rd International Conference, ILP 2013, Rio de Janeiro, Brazil, August 28-30, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8812, Springer 2014, ISBN 978-3-662-44922-6 - Stephen H. Muggleton, Dianhuan Lin, Jianzhong Chen, Alireza Tamaddoni-Nezhad:
MetaBayes: Bayesian Meta-Interpretative Learning Using Higher-Order Stochastic Refinement. 1-17 - Chen Zeng, Eric Lantz, Jeffrey F. Naughton, David Page:
On Differentially Private Inductive Logic Programming. 18-30 - Duangtida Athakravi, Domenico Corapi, Krysia Broda, Alessandra Russo:
Learning Through Hypothesis Refinement Using Answer Set Programming. 31-46 - Tony Ribeiro, Katsumi Inoue, Chiaki Sakama:
A BDD-Based Algorithm for Learning from Interpretation Transition. 47-63 - Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting, Prasad Tadepalli:
Accelerating Imitation Learning in Relational Domains via Transfer by Initialization. 64-75 - Samuel Sarjant, Bernhard Pfahringer, Kurt Driessens, Tony Smith:
A Direct Policy-Search Algorithm for Relational Reinforcement Learning. 76-92 - Rui Camacho, Ruy Ramos, Nuno A. Fonseca:
AND Parallelism for ILP: The APIS System. 93-106 - Nima Taghipour, Jesse Davis, Hendrik Blockeel:
Generalized Counting for Lifted Variable Elimination. 107-122 - Francesca A. Lisi, Umberto Straccia:
A FOIL-Like Method for Learning under Incompleteness and Vagueness. 123-139
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