Batch Learning Algorithm: Difference between revisions
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A [[Batch Learning Algorithm]] is a [[batch algorithm]] that can be implemented by a [[bath learning system]] to solve a [[batch learning task]]. | A [[Batch Learning Algorithm]] is a [[batch algorithm]] that can be implemented by a [[bath learning system]] to solve a [[batch learning task]]. | ||
* <B>Context:</B> | |||
** … | ** … | ||
* <B>Example(s):</B> | * <B>Example(s):</B> | ||
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** [[Online Learning Algorithm]]. | ** [[Online Learning Algorithm]]. | ||
* '''See:</B> [[Batch Processing]], [[Learning Algorithm]], [[Data Record Set]]. | * '''See:</B> [[Batch Processing]], [[Learning Algorithm]], [[Data Record Set]]. | ||
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Latest revision as of 23:37, 30 March 2022
A Batch Learning Algorithm is a batch algorithm that can be implemented by a bath learning system to solve a batch learning task.
- Context:
- …
- Example(s):
- Counter-Example(s):
- See: Batch Processing, Learning Algorithm, Data Record Set.
References
2017
- (Sammut & Webb, 2017) ⇒ (2017) Batch Learning. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston,
- QUOTE: A batch learning algorithm accepts a single input that is a set or sequence of observations. The algorithm produces its model, and does no further learning. Batch learning stands in contrast to online learning.