Bias Variance Decomposition

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A Bias Variance Decomposition is a Bias-variance Tradeoff for estimating a learning algorithm's expected generalization error.



References

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  1. Geman, Stuart; E. Bienenstock; R. Doursat (1992). "Neural networks and the bias/variance dilemma" (PDF). Neural Computation. 4: 1–58. doi:10.1162/neco.1992.4.1.1.
  2. Bias–variance decomposition, In Encyclopedia of Machine Learning. Eds. Claude Sammut, Geoffrey I. Webb. Springer 2011. pp. 100-101
  3. Gigerenzer, Gerd; Brighton, Henry (2009). “Homo Heuristicus: Why Biased Minds Make Better Inferences". Topics in Cognitive Science. 1: 107–143. doi:10.1111/j.1756-8765.2008.01006.x. PMID 25164802.