Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/614
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dc.creatorRui Camacho
dc.date.accessioned2022-09-08T18:22:07Z-
dc.date.available2022-09-08T18:22:07Z-
dc.date.issued1998
dc.identifier.othersigarra:54982
dc.identifier.urihttps://hdl.handle.net/10216/614-
dc.description.abstractA new model of human control skills is proposed and empiri- cally evaluated. It is called the incremental correction model and is more adequate for reverse engineering human control skills than any other previously proposed models. The experimental results show a considerable increase in robustness of the controllers that use the new model. The new model also attenuates the problem of unbalanced classes, noticed already in previous experiments. By means of Parameterised Decision Trees, propositional learners are still usable within the new model's framework.
dc.language.isoeng
dc.relation.ispartof10th European Conference on Machine Learning (ECML-98)
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectInteligência artificial, Engenharia electrotécnica, electrónica e informática
dc.subjectArtificial intelligence, Electrical engineering, Electronic engineering, Information engineering
dc.titleInducing models of human control skills
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.1007/s13928716
dc.subject.fosCiências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fosEngineering and technology::Electrical engineering, Electronic engineering, Information engineering
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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