Discriminative Adaptive Sets for Multi-Label Classification

Discriminative Adaptive Sets for Multi-Label Classification

Multi-label classification aims to associate multiple labels to a given data/object instance to better describe them. Multi-label data sets are common in a lot of emerging application areas like: Text/Multimedia classification, Bio-Informatics, Medical image annotations and Computer Vision to name a...

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Bibliographic Details
Main Authors:	Muhammad Usman Ghani, Muhammad Rafi, Muhammad Atif Tahir
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Lazy learning multi-label classification instance based learning MAP estimation nearest neighbors
Online Access:	https://ieeexplore.ieee.org/document/9274293/

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