Instance-based learning
id:
instance-based-learning-198-81788
title:
Instance-based learning
text:
In machine learning, instance-based learning (sometimes called memory-based learning) is a family of learning algorithms that, instead of performing explicit generalization, compare new problem instances with instances seen in training, which have been stored in memory. Because computation is postponed until a new instance is observed, these algorithms are sometimes referred to as "lazy." It is called instance-based because it constructs hypotheses directly from the training instances themselves
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Instance-based_learning
date created:
date modified:
2021-05-24T15:45:43Z
main entity:
{"identifier":"Q17141258","url":"https://www.wikidata.org/entity/Q17141258"}
image:
fields total:
13
integrity:
13