Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods
Sarah Vluymans
₹4,333
Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods
807
Springer Nature Switzerland AG · 2018 · Hardcover
₹7,751
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About this book
Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods: 807 is written by Sarah Vluymans. This hardcover edition from Springer Nature Switzerland AG (2018) has 249 pages.
The book deals with Fuzzy sets.
Subjects
Book details
- ISBN-13
- 9783030046620
- ISBN-10
- 3030046621
- Author
- Sarah Vluymans
- Publisher
- Springer Nature Switzerland AG
- Published
- 2018
- Edition
- 1st ed. 2019
- Binding
- Hardcover
- Pages
- 249
- Language
- English
- Condition
- New
- Subject
- Computers & Internet
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