Error tolerance (PAC learning)
id:
error-tolerance-pac-learning-239-11169045
title:
Error tolerance (PAC learning)
text:
In PAC learning, error tolerance refers to the ability of an algorithm to learn when the examples received have been corrupted in some way. In fact, this is a very common and important issue since in many applications it is not possible to access noise-free data. Noise can interfere with the learning process at different levels: the algorithm may receive data that have been occasionally mislabeled, or the inputs may have some false information, or the classification of the examples may have been
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Error_tolerance_(PAC_learning)
date created:
date modified:
2024-03-15T03:05:36Z
main entity:
{"identifier":"Q25212792","url":"https://www.wikidata.org/entity/Q25212792"}
image:
fields total:
13
integrity:
13