Label denoising based on Bayesian aggregation
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DOI: 10.1007/s13042-015-0474-y
Abstract: Label noise is a common problem that affects supervised learning and can produce misleading results. It is shown that only $$5\,\%$$5% of switched labels lead to a decrease of performances. Therefore, the true class of… read more here.
Keywords: label; bayesian aggregation; based bayesian; label denoising ... See more keywords