Εξώφυλλο

A Fast Multivariate Symmetrical Uncertainty Based Heuristic for High Dimensional Feature Selection.

In classification tasks the increase in the number of dimensions of a data makes the learning process harder. In this context feature selection usually allows to induce simpler classifier models while keeping the accuracy. However, some factors, such as the presence of irrelevant and redundant featu...

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Αποθηκεύτηκε σε:
Κύριος συγγραφέας: García Torres, Miguel (author)
Άλλοι συγγραφείς: Divina, Federico (author), Gómez, Francisco (author), Vázquez Noguera, José Luis (author)
Μορφή: article
Γλώσσα:Αγγλικά
Έκδοση: 2021
Θέματα:
7. Salud
CANCER
MELANOMA
ONCOLOGIA
Διαθέσιμο Online:http://hdl.handle.net/20.500.14066/3778
Ετικέτες: Προσθήκη ετικέτας
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author García Torres, Miguel
author2 Divina, Federico
Gómez, Francisco
Vázquez Noguera, José Luis
author2_role author
author
author
author_browse Divina, Federico
García Torres, Miguel
Gómez, Francisco
Vázquez Noguera, José Luis
author_facet García Torres, Miguel
Divina, Federico
Gómez, Francisco
Vázquez Noguera, José Luis
author_role author
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http://repositorio.conacyt.gov.py/bitstream/20.500.14066/3778/3/PINV18-1199art1.pdf.txt
dc.contributor.other.es.fl_str_mv Universidad Americana (PY)
Universidad Pablo de Olavide (ES)
dc.creator.none.fl_str_mv García Torres, Miguel
Divina, Federico
Gómez, Francisco
Vázquez Noguera, José Luis
dc.date.accessioned.none.fl_str_mv 2022-04-29T23:02:38Z
dc.date.available.none.fl_str_mv 2022-04-29T23:02:38Z
dc.date.issued.none.fl_str_mv 2021
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.14066/3778
dc.language.iso.es.fl_str_mv eng
dc.relation.projectCONACYT.es.fl_str_mv PINV18-1199
dc.rights.accessRights.es.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.classification.es.fl_str_mv 7. Salud
dc.subject.other.es.fl_str_mv CANCER
MELANOMA
ONCOLOGIA
dc.title.es.fl_str_mv A Fast Multivariate Symmetrical Uncertainty Based Heuristic for High Dimensional Feature Selection.
dc.type.es.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description In classification tasks the increase in the number of dimensions of a data makes the learning process harder. In this context feature selection usually allows to induce simpler classifier models while keeping the accuracy. However, some factors, such as the presence of irrelevant and redundant features, make the feature selection process challenging.
eu_rights_str_mv openAccess
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publishDate 2021
publishDateSort 2021
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repository.name.fl_str_mv Repositorio Institucional CONACYT
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spellingShingle A Fast Multivariate Symmetrical Uncertainty Based Heuristic for High Dimensional Feature Selection.
García Torres, Miguel
7. Salud
CANCER
MELANOMA
ONCOLOGIA
status_str publishedVersion
title A Fast Multivariate Symmetrical Uncertainty Based Heuristic for High Dimensional Feature Selection.
title_full A Fast Multivariate Symmetrical Uncertainty Based Heuristic for High Dimensional Feature Selection.
title_fullStr A Fast Multivariate Symmetrical Uncertainty Based Heuristic for High Dimensional Feature Selection.
title_full_unstemmed A Fast Multivariate Symmetrical Uncertainty Based Heuristic for High Dimensional Feature Selection.
title_short A Fast Multivariate Symmetrical Uncertainty Based Heuristic for High Dimensional Feature Selection.
title_sort A Fast Multivariate Symmetrical Uncertainty Based Heuristic for High Dimensional Feature Selection.
topic 7. Salud
CANCER
MELANOMA
ONCOLOGIA
url http://hdl.handle.net/20.500.14066/3778

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