Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing
2019
|
| Schriftenreihe: | Studies in Computational Intelligence
807 |
| Schlagworte: | |
| Online-Zugang: | BFB01 BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FLA01 FWS01 FWS02 TUM01 UBT01 UBY01 UPA01 Volltext |
| Beschreibung: | 1 Online-Ressource (XVIII, 249 p. 23 illus., 10 illus. in color) |
| ISBN: | 9783030046637 |
| ISSN: | 1860-949X |
| DOI: | 10.1007/978-3-030-04663-7 |
Internformat
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Datensatz im Suchindex
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| id | DE-604.BV045336149 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T13:58:57Z |
| institution | BVB |
| isbn | 9783030046637 |
| issn | 1860-949X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030722925 |
| oclc_num | 1083962892 |
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| physical | 1 Online-Ressource (XVIII, 249 p. 23 illus., 10 illus. in color) |
| psigel | ZDB-2-INR ZDB-2-INR_2019 |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Springer International Publishing |
| record_format | marc |
| series | Studies in Computational Intelligence |
| series2 | Studies in Computational Intelligence |
| spellingShingle | Vluymans, Sarah Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods Studies in Computational Intelligence Computational Intelligence Artificial Intelligence Engineering Artificial intelligence |
| title | Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods |
| title_auth | Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods |
| title_exact_search | 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 by Sarah Vluymans |
| title_fullStr | Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods by Sarah Vluymans |
| title_full_unstemmed | Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods by Sarah Vluymans |
| 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 | Computational Intelligence Artificial Intelligence Engineering Artificial intelligence |
| topic_facet | Computational Intelligence Artificial Intelligence Engineering Artificial intelligence |
| url | https://doi.org/10.1007/978-3-030-04663-7 |
| volume_link | (DE-604)BV044858013 |
| work_keys_str_mv | AT vluymanssarah dealingwithimbalancedandweaklylabelleddatainmachinelearningusingfuzzyandroughsetmethods |