Some circumscriptional thoughts on SBL
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...
| Autores: | , |
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| Tipo de recurso: | informe técnico |
| Fecha de publicación: | 1989 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/190354 |
| Acceso en línea: | https://hdl.handle.net/2117/190354 |
| Access Level: | acceso abierto |
| Palabra clave: | Machine learning Similitude Based Learning Aprenentatge automàtic Àrees temàtiques de la UPC::Informàtica |
| Sumario: | 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. |
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