%0 Conference Paper %1 conf/flops/WangG22 %A Wang, Huaduo %A Gupta, Gopal %B FLOPS %D 2022 %E Hanus, Michael %E Igarashi, Atsushi %I Springer %K dblp %P 224-242 %T FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed Data. %U http://dblp.uni-trier.de/db/conf/flops/flops2022.html#WangG22 %V 13215 %@ 978-3-030-99461-7

@inproceedings{conf/flops/WangG22, added-at = {2022-10-26T00:00:00.000+0200}, author = {Wang, Huaduo and Gupta, Gopal}, biburl = {https://www.bibsonomy.org/bibtex/27d094ecc325cefd5777353e0c15d8945/dblp}, booktitle = {FLOPS}, crossref = {conf/flops/2022}, editor = {Hanus, Michael and Igarashi, Atsushi}, ee = {https://doi.org/10.1007/978-3-030-99461-7_13}, interhash = {142b0a2f23336149a44f13ebfdccd586}, intrahash = {7d094ecc325cefd5777353e0c15d8945}, isbn = {978-3-030-99461-7}, keywords = {dblp}, pages = {224-242}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T19:34:08.000+0200}, title = {FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed Data.}, url = {http://dblp.uni-trier.de/db/conf/flops/flops2022.html#WangG22}, volume = 13215, year = 2022 }