2026-04-17T06:57:39Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/1903542025-07-16T23:26:36Zcom_2072_1033col_2072_452950

00925njm 22002777a 4500 dc Núñez Esquer, Gustavo author Cortés García, Claudio Ulises author 1989 We illustrate how some of the Similitude Based Learning (SBL) paradigms can be reformulated using some logical formalisms as circumscription, predicate completion and the close world assumption. Our approach shows that is possible to use these logical tools in order to obtain a formal unified vision of SBL paradigms, and it also suggests some kind of improvements on the current implementations. We introduce a hitherto unmentioned direct link between machine learning and circumscription. We believe that this new framework and the obtained results are of practical interest. Postprint (published version) Àrees temàtiques de la UPC::Informàtica Machine learning Similitude Based Learning Aprenentatge automàtic Some circumscriptional thoughts on SBL