Context mixing
id:
context-mixing-272-4714863
title:
Context mixing
text:
Context mixing is a type of data compression algorithm in which the next-symbol predictions of two or more statistical models are combined to yield a prediction that is often more accurate than any of the individual predictions. For example, one simple method is to average the probabilities assigned by each model. The random forest is another method: it outputs the prediction that is the mode of the predictions output by individual models. Combining models is an active area of research in machin
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Context_mixing
date created:
date modified:
2024-03-28T20:51:27Z
main entity:
{"identifier":"Q2708","url":"https://www.wikidata.org/entity/Q2708"}
image:
fields total:
13
integrity:
13