Fully-Supervised Learning Algorithm: Difference between revisions
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A [[Fully-Supervised Learning Algorithm]] is a [[supervised learning algorithm]] that can solve a [[fully-supervised learning task]] (with a [[labeled training data]]). | A [[Fully-Supervised Learning Algorithm]] is a [[supervised learning algorithm]] that can solve a [[fully-supervised learning task]] (with a [[labeled training data]]). | ||
* <B | * <B>AKA:</B> [[Fully-Supervised Learning Algorithm|Fully-Supervised Machine Learning Algorithm]], [[Fully-Supervised Learning Algorithm|Fully Supervised Learner]]. | ||
* <B | * <B>Context</U>:</B> | ||
** It can range from being a [[Fully-Supervised Classification Algorithm]] to being a [[Fully-Supervised Regression Algorithm]]. | ** It can range from being a [[Fully-Supervised Classification Algorithm]] to being a [[Fully-Supervised Regression Algorithm]]. | ||
** … | |||
* <B>Example(s):</B> | * <B>Example(s):</B> | ||
** a [[C4.5 Algorithm]]. | ** a [[C4.5 Algorithm]]. | ||
* <B | * <B>See:</B> [[Semi-Supervised Learning Algorithm]]. | ||
---- | ---- | ||
__NOTOC__ | __NOTOC__ | ||
[[Category:Concept]] | [[Category:Concept]] |
Latest revision as of 05:26, 17 June 2021
A Fully-Supervised Learning Algorithm is a supervised learning algorithm that can solve a fully-supervised learning task (with a labeled training data).
- AKA: Fully-Supervised Machine Learning Algorithm, Fully Supervised Learner.
- Context:
- It can range from being a Fully-Supervised Classification Algorithm to being a Fully-Supervised Regression Algorithm.
- …
- Example(s):
- See: Semi-Supervised Learning Algorithm.