Cascading classifiers
id:
cascading-classifiers-260-17564668
title:
Cascading classifiers
text:
Cascading is a particular case of ensemble learning based on the concatenation of several classifiers, using all information collected from the output from a given classifier as additional information for the next classifier in the cascade. Unlike voting or stacking ensembles, which are multiexpert systems, cascading is a multistage one. Cascading classifiers are trained with several hundred "positive" sample views of a particular object and arbitrary "negative" images of the same size. After th
brand slug:
wiki
category slug:
encyclopedia
description:
Multistage statistical classification scheme
original url:
https://en.wikipedia.org/wiki/Cascading_classifiers
date created:
date modified:
2022-12-08T19:13:18Z
main entity:
{"identifier":"Q5048220","url":"https://www.wikidata.org/entity/Q5048220"}
image:
fields total:
13
integrity:
14