dc.creator | Aranda Corral, Gonzalo A. | es |
dc.creator | Borrego Díaz, Joaquín | es |
dc.creator | Galán Páez, Juan | es |
dc.date.accessioned | 2022-07-11T09:24:17Z | |
dc.date.available | 2022-07-11T09:24:17Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Aranda Corral, G.A., Borrego Díaz, J. y Galán Páez, J. (2022). Concept learning consistency under three‑way decision paradigm. International Journal of Machine Learning and Cybernetics, May 2022 | |
dc.identifier.issn | 1868-808X | es |
dc.identifier.uri | https://hdl.handle.net/11441/135198 | |
dc.description.abstract | Concept Mining is one of the main challenges both in Cognitive Computing and in Machine Learning. The ongoing improve ment of solutions to address this issue raises the need to analyze whether the consistency of the learning process is preserved.
This paper addresses a particular problem, namely, how the concept mining capability changes under the reconsideration of
the hypothesis class. The issue will be raised from the point of view of the so-called Three-Way Decision (3WD) paradigm.
The paradigm provides a sound framework to reconsider decision-making processes, including those assisted by Machine
Learning. Thus, the paper aims to analyze the infuence of 3WD techniques in the Concept Learning Process itself. For this
purpose, we introduce new versions of the Vapnik-Chervonenkis dimension. Likewise, to illustrate how the formal approach
can be instantiated in a particular model, the case of concept learning in (Fuzzy) Formal Concept Analysis is considered. | es |
dc.description.sponsorship | Agencia Estatal de Investigación PID2019-109152GB-I00/AEI/10.13039/501100011033 | es |
dc.format | application/pdf | es |
dc.format.extent | 23 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | International Journal of Machine Learning and Cybernetics, May 2022 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Concept Learning | es |
dc.subject | Vapnik-Chervonenkis dimension | es |
dc.subject | Three-way decision paradigm | es |
dc.subject | Formal Concept Analysis | es |
dc.title | Concept learning consistency under three‑way decision paradigm | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | PID2019-109152GB-I00/AEI/10.13039/501100011033 | es |
dc.relation.publisherversion | https://link.springer.com/article/10.1007/s13042-022-01576-w | es |
dc.identifier.doi | 10.1007/s13042-022-01576-w | es |
dc.contributor.group | Universidad de Sevilla. TIC-137: Lógica, Computación e Ingeniería del Conocimiento | es |
dc.journaltitle | International Journal of Machine Learning and Cybernetics | es |
dc.publication.issue | May 2022 | es |
dc.contributor.funder | Agencia Estatal de Investigación. España | es |