Model-based Learning Algorithm: Difference between revisions

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* <B>Example(s):</B>  
* <B>Example(s):</B>  
** a [[Regression Algorithm]], such as a [[least-squares function fitting algorithm]].
** a [[Regression Algorithm]], such as a [[least-squares function fitting algorithm]].
** a [[Statistical Modeling Algorithm]], such as s [[Linear Model Learning Algorithm]] or a [[Logistic Regression Model Learning Algorithm]]
** a [[Statistical Modeling Algorithm]], such as s [[Linear Model Learning Algorithm]] or a [[Logistic Regression Model Learning Algorithm]].
** a [[Decision Tree Learning Algorithm]], such as a [[C4.5 Algorithm]].
** a [[Decision Tree Learning Algorithm]], such as a [[C4.5 Algorithm]].
** a [[Discriminative Machine Learning Algorithm]], such as a [[logistic regression]].
** a [[Discriminative Machine Learning Algorithm]], such as a [[logistic regression]].

Revision as of 13:56, 6 July 2022

A Model-based Learning Algorithm is a learning algorithm that can be applied by a model-based learning system to solve a model-based learning task (which requires the production of a model-based prediction function).



References

1993

  • (Quinlan, 1993) ⇒ J. Ross Quinlan. (1993). “Combining Instance-based and Model-based Learning.” In: Proceedings of the Tenth International Conference on Machine Learning.