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Label denoising based on Bayesian aggregation
Year: 2016
Abstract:
new method for label denoising based on Bayesian aggregation is proposed which solves the problems of kNN-based approaches by aggregating the local and global views of instances. The aggregation of local and global information leads to a more robust...