On Bias Plus Variance
- 1 August 1997
- journal article
- Published by MIT Press in Neural Computation
- Vol. 9 (6) , 1211-1243
- https://doi.org/10.1162/neco.1997.9.6.1211
Abstract
: This paper presents a Bayesian additive "correction" to the familiar quadratic loss biasplus-variance formula. It then discusses some other loss-function-specific aspects of supervisedlearning. It ends by presenting a version of the bias-plus-variance formula appropriate for log loss,and then the Bayesian additive correction to that formula. Both the quadratic loss and log loss correctionterms are a covariance, between the learning algorithm and the posterior distribution overtargets....Keywords
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This publication has 3 references indexed in Scilit:
- The Existence of A Priori Distinctions Between Learning AlgorithmsNeural Computation, 1996
- The Lack of A Priori Distinctions Between Learning AlgorithmsNeural Computation, 1996
- Neural Networks and the Bias/Variance DilemmaNeural Computation, 1992