CoBoosting
id:
coboosting-264-8221836
title:
CoBoosting
text:
CoBoost is a semi-supervised training algorithm proposed by Collins and Singer in 1999. The original application for the algorithm was the task of Named Entity Classification using very weak learners. It can be used for performing semi-supervised learning in cases in which there exist redundancy in features. It may be seen as a combination of co-training and boosting. Each example is available in two views, and boosting is applied iteratively in alternation with each view using predicted labels
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/CoBoosting
date created:
date modified:
2020-08-16T19:34:49Z
main entity:
{"identifier":"Q5137519","url":"https://www.wikidata.org/entity/Q5137519"}
image:
fields total:
13
integrity:
13