Difference between revisions of "Inductive bias"

From Lesswrongwiki
Jump to: navigation, search
m (See Also)
Line 3: Line 3:
 
{{Quote|
 
{{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
 
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]}}
+
|Tom Mitchell<ref>
 +
{{cite journal
 +
|author = Tom M. Mitchell
 +
|year = 1980
 +
|title = The need for biases in learning generalizations
 +
|format = PDF
 +
|url = http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.120.4179
 +
}}</ref>}}
  
 
In [[Bayesian]] framework, inductive bias is encoded in the [[prior distribution]].
 
In [[Bayesian]] framework, inductive bias is encoded in the [[prior distribution]].
Line 11: Line 18:
 
*[[Statistical bias]]
 
*[[Statistical bias]]
  
==References==
+
==Footnotes==
<!-- Always keep this header if there is at least one reference
+
<references/>
    Delete or add sections below as necessary -->
+
 
 +
==Blog posts==
 +
*[http://lesswrong.com/lw/hg/inductive_bias/ "Inductive Bias"] by [[Eliezer Yudkowsky]]
  
=====Overcoming Bias Articles=====
 
<!-- For related Overcoming Bias articles,
 
    formatted as a list with each entry as "/Title/ by /Author/ -->
 
*[http://www.overcomingbias.com/2007/04/inductive_bias.html "Inductive Bias"] by [[Eliezer Yudkowsky]]
 
 
{{stub}}
 
{{stub}}

Revision as of 09:23, 30 May 2009

Smallwikipedialogo.png
Wikipedia has an article about


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

Tom Mitchell[1]

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

See also

Footnotes

Blog posts