| 词条 | Offline learning |
| 释义 |
In machine learning, systems which employ offline learning do not change their approximation of the target function when the initial training phase has been completed.{{Citation needed|date=February 2018}} These systems are also typically examples of eager learning.{{Citation needed|date=February 2018}} While in online learning, only the set of possible elements is known, in offline learning, the identity of the elements as well as the order in which they are presented is known to the learner.[1] See also
References1. ^{{Cite journal|last=Ben-David|first=Shai|last2=Kushilevitz|first2=Eyal|last3=Mansour|first3=Yishay|date=1997-10-01|title=Online Learning versus Offline Learning|journal=Machine Learning|language=en|volume=29|issue=1|pages=45–63|doi=10.1023/A:1007465907571|issn=0885-6125}} {{compu-stub}} 1 : Machine learning |
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