HML-RF: Hybrid Multi-Label Random Forest

HML-RF: Hybrid Multi-Label Random Forest

Multi-label classification is the supervised learning problem in which an instance is associated with a set of labels. In this, labels are correlated, and hence label dependency information plays a vital role. Its always been a question of research to decide the order of labels to exploit their inte...

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Bibliographic Details
Main Authors: Vikas Jain, Ashish Phophalia, Suman K. Mitra
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Ensemble methods
label correlation
multi-label classification
machine learning
random forest
Online Access:https://ieeexplore.ieee.org/document/9721295/

Internet

https://ieeexplore.ieee.org/document/9721295/

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