%0 Conference Paper %1 Stahl93 %A Stahl, Irene %B Proceedings of the European Conference on Machine Learning (ECML'93) %D 1993 %I Springer-Verlag %K ilp induction inductive_programming overview predicate_invention program_synthesis %P 311--322 %T Predicate Invention in ILP — an Overview %U http://dx.doi.org/10.1007/3-540-56602-3_144 %V 667 %X Inductive Logic Programming (ILP) is a subfield of machine learning dealing with inductive inference in a first order Horn clause framework. A problem in ILP is how to extend the hypotheses language in the case that the vocabulary given initially is insufficient. One way to adapt the vocabulary is to introduce new predicates.

@inproceedings{Stahl93, abstract = {Inductive Logic Programming (ILP) is a subfield of machine learning dealing with inductive inference in a first order Horn clause framework. A problem in ILP is how to extend the hypotheses language in the case that the vocabulary given initially is insufficient. One way to adapt the vocabulary is to introduce new predicates.}, added-at = {2008-12-18T13:15:39.000+0100}, author = {Stahl, Irene}, biburl = {https://www.bibsonomy.org/bibtex/214d993e90d592a5190c72736ea41d8c8/emanuel}, booktitle = {Proceedings of the European Conference on Machine Learning ({ECML'93})}, interhash = {ff9b3082c75bc5204400e798eab35b44}, intrahash = {14d993e90d592a5190c72736ea41d8c8}, keywords = {ilp induction inductive_programming overview predicate_invention program_synthesis}, pages = {311--322}, publisher = {Springer-Verlag}, series = {LNCS}, timestamp = {2008-12-18T13:15:39.000+0100}, title = {Predicate Invention in ILP — an Overview}, url = {http://dx.doi.org/10.1007/3-540-56602-3_144}, volume = 667, year = 1993 }