General Mathematics

    

Classification of Incomplete Patterns Based on the Fusion of Belief Functions

Authors: Zhun-ga Liu, Quan Pan, Jean Dezert, Arnaud Martin, Gregoire Mercier

The influence of the missing values in the classification of incomplete pattern mainly depends on the context. In this paper, we present a fast classification method for incomplete pattern based on the fusion of belief functions where the missing values are selectively (adaptively) estimated.

Comments: 8 Pages.

Download: PDF

Submission history

[v1] 2015-08-31 06:07:13

Unique-IP document downloads: 229 times

Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus