FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed Data

Huaduo Wang, Gopal Gupta. FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed Data. In Michael Hanus, Atsushi Igarashi, editors, Functional and Logic Programming - 16th International Symposium, FLOPS 2022, Kyoto, Japan, May 10-12, 2022, Proceedings. Volume 13215 of Lecture Notes in Computer Science, pages 224-242, Springer, 2022. [doi]

Abstract

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