Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering

Volume: 147, Pages: 113152 - 113152
Published: Jun 1, 2020
Abstract
In many real-world applications, an algorithm needs to learn multiclass classification models from data with imbalanced class distributions. Multiclass imbalanced learning is currently receiving increased attention from researchers. In contrast to traditional imbalanced learning on binary datasets, multiclass imbalanced learning faces great challenges from the variety of changes in the class distributions as well as the inadequate performance of...
Paper Details
Title
Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering
Published Date
Jun 1, 2020
Volume
147
Pages
113152 - 113152
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