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Multilabel Classification: Problem Analysis, Metrics and Techniques
Paperback
ISBN13: 9783319822693
Publisher: Springer Nature
Published: Apr 22 2018
Pages: 194
Weight: 0.67
Height: 0.45 Width: 6.14 Depth: 9.21
Language: English
This book is beneficial for professionals and researchers in a variety of fields because of the wide range of potential applications for multilabel classification. Besides its multiple applications to classify different types of online information, it is also useful in many other areas, such as genomics and biology. No previous knowledge about the subject is required. The book introduces all the needed concepts to understand multilabel data characterization, treatment and evaluation.
1 different editions
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Multilabel Classification: Problem Analysis, Metrics and Techniques
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Rivera, Antonio J.
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