A new evidential K-nearest neighbor rule based on contextual discounting with partially supervised learning

© 2019 Elsevier Inc. The evidential K nearest neighbor classifier is based on discounting evidence from learning instances in a neighborhood of the pattern to be classified. To adapt the method to partially supervised data, we propose to replace the classical discounting operation by contextual disc...

Full description

Saved in:

Bibliographic Details
Main Authors:	Thierry Denœux, Orakanya Kanjanatarakul, Songsak Sriboonchitta
Format:	Journal
Published:	2020
Subjects:	Computer Science Mathematics
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85073707748&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/67705
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Chiang Mai University

id	th-cmuir.6653943832-67705
record_format	dspace
spelling	th-cmuir.6653943832-677052020-04-02T15:10:36Z A new evidential K-nearest neighbor rule based on contextual discounting with partially supervised learning Thierry Denœux Orakanya Kanjanatarakul Songsak Sriboonchitta Computer Science Mathematics © 2019 Elsevier Inc. The evidential K nearest neighbor classifier is based on discounting evidence from learning instances in a neighborhood of the pattern to be classified. To adapt the method to partially supervised data, we propose to replace the classical discounting operation by contextual discounting, a more complex operation based on as many discount rates as classes. The parameters of the method are tuned by maximizing the evidential likelihood, an extension of the likelihood function based on uncertain data. The resulting classifier is shown to outperform alternative methods in partially supervised learning tasks. 2020-04-02T15:01:44Z 2020-04-02T15:01:44Z 2019-10-01 Journal 0888613X 2-s2.0-85073707748 10.1016/j.ijar.2019.07.009 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85073707748&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/67705
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Computer Science Mathematics
spellingShingle	Computer Science Mathematics Thierry Denœux Orakanya Kanjanatarakul Songsak Sriboonchitta A new evidential K-nearest neighbor rule based on contextual discounting with partially supervised learning
description	© 2019 Elsevier Inc. The evidential K nearest neighbor classifier is based on discounting evidence from learning instances in a neighborhood of the pattern to be classified. To adapt the method to partially supervised data, we propose to replace the classical discounting operation by contextual discounting, a more complex operation based on as many discount rates as classes. The parameters of the method are tuned by maximizing the evidential likelihood, an extension of the likelihood function based on uncertain data. The resulting classifier is shown to outperform alternative methods in partially supervised learning tasks.
format	Journal
author	Thierry Denœux Orakanya Kanjanatarakul Songsak Sriboonchitta
author_facet	Thierry Denœux Orakanya Kanjanatarakul Songsak Sriboonchitta
author_sort	Thierry Denœux
title	A new evidential K-nearest neighbor rule based on contextual discounting with partially supervised learning
title_short	A new evidential K-nearest neighbor rule based on contextual discounting with partially supervised learning
title_full	A new evidential K-nearest neighbor rule based on contextual discounting with partially supervised learning
title_fullStr	A new evidential K-nearest neighbor rule based on contextual discounting with partially supervised learning
title_full_unstemmed	A new evidential K-nearest neighbor rule based on contextual discounting with partially supervised learning
title_sort	new evidential k-nearest neighbor rule based on contextual discounting with partially supervised learning
publishDate	2020
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85073707748&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/67705
_version_	1681426684650192896

A new evidential K-nearest neighbor rule based on contextual discounting with partially supervised learning

Similar Items