Lear is a relational concept-learning system implemented in swi-prolog.

It learns a set of first order clauses from ambiguous examples represented by clausal theories.

It is based on research works made at the Laboratoire d'Informatique de Paris Nord (machine learning team)



Concept learning from (very) ambiguous examples.

Volume 5632 of Lecture Notes in Computer Science. Springer (2009) 465–478

Dominique BOUTHINON, Henry SOLDANO and Véronique VENTOS