Transfer Matrix with Implicit Regularization for Label Noise Learning: A Novel Approach
In this chapter, we propose a novel approach that combines the transfer matrix with implicit regularization for label noise learning, building upon prior research on transfer matrices. This convenient end-to-end model is presented in detail, and its theoretical justification is provided.
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