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Supervised Learning from Multiple Experts: Whom to Trust When Everyone Lies a Bit

Published on Aug 26, 20094352 Views

We describe a probabilistic approach for supervised learning when we have multiple experts/annotators providing (possibly noisy) labels but no absolute gold standard. The proposed algorithm evaluates

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Plan of the talk04:42
Majority Voting05:04