Difference between revisions of "Inductive bias"

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(Created page with '{{wikilink}} {{Quote| 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 |(Mi...')
 
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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
 
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)|[http://citeseer.ist.psu.edu/mitchell80need.html The need for biases in learning generalizations]}}
 
|(Mitchell, 1980)|[http://citeseer.ist.psu.edu/mitchell80need.html The need for biases in learning generalizations]}}
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In [[Bayesian]] framework, inductive bias is encoded in the [[prior distribution]].
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==See Also==
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*[[Prior distribution]]
  
 
==References==
 
==References==

Revision as of 22:49, 23 May 2009

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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

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

See Also

References

Overcoming Bias Articles