Perplexity
id:
perplexity-189-11046582
title:
Perplexity
text:
In information theory, perplexity is a measure of uncertainty in the value of a sample from a discrete probability distribution. The larger the perplexity, the less likely it is that an observer can guess the value which will be drawn from the distribution. Perplexity was originally introduced in 1977 in the context of speech recognition by Frederick Jelinek, Robert Leroy Mercer, Lalit R. Bahl, and James K. Baker.
brand slug:
wiki
category slug:
encyclopedia
description:
Concept in information theory
original url:
https://en.wikipedia.org/wiki/Perplexity
date created:
2006-04-04T23:37:29Z
date modified:
2024-09-09T07:54:21Z
main entity:
{"identifier":"Q372193","url":"https://www.wikidata.org/entity/Q372193"}
image:
fields total:
13
integrity:
15