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pro vyhledávání: '"Maheshwara, Samartha S"'
This paper presents a robust approach for learning from noisy pairwise comparisons. We propose sufficient conditions on the loss function under which the risk minimization framework becomes robust to noise in the pairwise similar dissimilar data. Our
Externí odkaz:
http://arxiv.org/abs/2303.02341
