Batch Learning Task
(Redirected from offline learning)
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An Batch Learning Task is a learning task that is an batch decisioning task (where some time is available between learning and predictions).
- AKA: Offline Learning.
- Context:
- It can be solved by an Batch Learning System that applies an (batch learning algorithm).
- Example(s):
- …
- Counter-Example(s):
- a Online Learning Task, with a feedback learning dataset.
- See: Fully-Supervised Learning Task.
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.