Fully-Supervised Learning Algorithm: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
m (Text replacement - "<B><U>AKA</U>:</B>" to "<B>AKA:</B>") |
||
| Line 1: | Line 1: | ||
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 Machine Learning Algorithm]], [[Fully Supervised Learner]]. | ||
* <B><U>Context</U>:</B> | * <B><U>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]]. | ||
Revision as of 13:52, 9 September 2014
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.