%0 Conference Paper %1 conf/ruleml/0003SS22 %A Romero, Javier %A Schaub, Torsten %A Strauch, Klaus %B RuleML+RR %D 2022 %E Governatori, Guido %E Turhan, Anni-Yasmin %I Springer %K dblp %P 20-37 %T On the Generalization of Learned Constraints for ASP Solving in Temporal Domains. %U http://dblp.uni-trier.de/db/conf/ruleml/ruleml2022.html#0003SS22 %V 13752 %@ 978-3-031-21541-4

@inproceedings{conf/ruleml/0003SS22, added-at = {2022-12-25T00:00:00.000+0100}, author = {Romero, Javier and Schaub, Torsten and Strauch, Klaus}, biburl = {https://www.bibsonomy.org/bibtex/2e66ed4c1858bbcb1dfd7dbddf9f40bec/dblp}, booktitle = {RuleML+RR}, crossref = {conf/ruleml/2022}, editor = {Governatori, Guido and Turhan, Anni-Yasmin}, ee = {https://doi.org/10.1007/978-3-031-21541-4_2}, interhash = {d2c0bb83afe2da8bdae5b5bdb3ef2f3d}, intrahash = {e66ed4c1858bbcb1dfd7dbddf9f40bec}, isbn = {978-3-031-21541-4}, keywords = {dblp}, pages = {20-37}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T23:54:51.000+0200}, title = {On the Generalization of Learned Constraints for ASP Solving in Temporal Domains.}, url = {http://dblp.uni-trier.de/db/conf/ruleml/ruleml2022.html#0003SS22}, volume = 13752, year = 2022 }