Eager Model-based Estimation Algorithm: Difference between revisions
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An [[Eager Model-based Estimation Algorithm]] is a [[estimation algorithm]] that is an [[eager model-based learning algorithm]]. | |||
* <B>AKA:</B> [[Parametric Regression Algorithm]]. | |||
* <B>COntext:</B> | |||
** It can be applied by an [[Eager Model-based Estimation System]] (to solve an [[eager model-based estimation task]]). | |||
* <B>Example(s):</B> | |||
** an [[Ordinary Linear Regression Algorithm]]. | |||
** a [[Generalized Linear Regression Algorithm]]. | |||
** a [[Logistic Regression Algorithm]]. | |||
* <B>Counter-Example(s):</B> | |||
** [[Lazy Model-based Regression Algorithm]] | |||
** [[Eager Instance-based Regression Algorithm]] | |||
** [[Eager Model-based Classification Algorithm]] | |||
* <B>See:</B> [[Estimation]], [[Error Term]], [[Function Fitting]]. | |||
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[[Category:Concept]] | |||
Revision as of 14:14, 3 June 2016
An Eager Model-based Estimation Algorithm is a estimation algorithm that is an eager model-based learning algorithm.
- AKA: Parametric Regression Algorithm.
- COntext:
- It can be applied by an Eager Model-based Estimation System (to solve an eager model-based estimation task).
- Example(s):
- Counter-Example(s):
- See: Estimation, Error Term, Function Fitting.