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Last active December 2, 2023 15:46
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A derivation of the bias-variance decomposition of test error in machine learning.
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petermchale commented Dec 2, 2023 •
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In active machine learning, we assume that the learner is unbiased, and focus on algorithms that minimize the learner's variance, as shown in Cohn et al (1996): https://arxiv.org/abs/cs/9603104 (Eq. 4 is difficult to interpret precisely, though, in the absence of further reading).

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