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Some circumscriptional thoughts on SBL

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hdl:2117/190354

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Núñez Esquer, Gustavo
Cortés García, Claudio UlisesMés informacióMés informacióMés informació
Document typeResearch report
Defense date1989
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
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.
CitationNuñez, G.; Cortés, U. "Some circumscriptional thoughts on SBL". 1989. 
Is part ofLSI-89-20
URIhttp://hdl.handle.net/2117/190354
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