| ISBN: | 9783030046620 |
| Publication date: | 5th December 2018 |
| Author: | Sarah Vluymans |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 249 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Artificial intelligence |
Dealing With Imbalanced and Weakly Labelled Data in Machine Learning Using Fuzzy and Rough Set Methods features in the following genres: Artificial intelligence
Dealing With Imbalanced and Weakly Labelled Data in Machine Learning Using Fuzzy and Rough Set Methods is available in Hardback
Dealing With Imbalanced and Weakly Labelled Data in Machine Learning Using Fuzzy and Rough Set Methods was written by Sarah Vluymans and published by Springer an imprint of Springer International Publishing
Dealing With Imbalanced and Weakly Labelled Data in Machine Learning Using Fuzzy and Rough Set Methods has 249 pages
Yes it is part of Studies in Computational Intelligence series