# Difference between revisions of "Inductive bias"

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In [[Bayesian]] framework, inductive bias is encoded in the [[prior distribution]]. | In [[Bayesian]] framework, inductive bias is encoded in the [[prior distribution]]. | ||

− | ==See | + | ==See also== |

*[[Prior distribution]] | *[[Prior distribution]] | ||

− | *[[ | + | *[[Statistical bias]] |

==References== | ==References== |

## Revision as of 09:12, 30 May 2009

The inductive bias of a learning algorithm is the set of assumptions that the learner uses to predict outputs given inputs that it has not encountered

—(Mitchell, 1980), The need for biases in learning generalizations

In Bayesian framework, inductive bias is encoded in the prior distribution.