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Dealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methods
| Autor principal: | |
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| Lenguaje: | eng |
| Publicado: |
Springer International Publishing AG
2018
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2755625 |
| _version_ | 1780969678423719936 |
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| author | Vluymans, Sarah |
| author_facet | Vluymans, Sarah |
| author_sort | Vluymans, Sarah |
| collection | CERN |
| id | cern-2755625 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2018 |
| publisher | Springer International Publishing AG |
| record_format | invenio |
| spelling | cern-27556252021-04-21T16:42:17Zhttp://cds.cern.ch/record/2755625engVluymans, SarahDealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methodsXXSpringer International Publishing AGoai:cds.cern.ch:27556252018 |
| spellingShingle | XX Vluymans, Sarah Dealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methods |
| title | Dealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methods |
| title_full | Dealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methods |
| title_fullStr | Dealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methods |
| title_full_unstemmed | Dealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methods |
| title_short | Dealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methods |
| title_sort | dealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methods |
| topic | XX |
| url | http://cds.cern.ch/record/2755625 |
| work_keys_str_mv | AT vluymanssarah dealingwithimbalancedandweaklylabelleddatainmachinelearningusingfuzzyandroughsetmethods |