12th International Conference on Computer and Knowledge Engineering , 2022-11-17

Title : ( Weakly Supervised Learning in a Group of Learners with Communication )

Authors: Ali Ganjbakhsh , Ahad Harati ,

Access to full-text not allowed by authors

Citation: BibTeX | EndNote

Abstract

In the initial research, we executed these inferences according to the limited graph that we used as input, although the approximate inference can also be used. We have designed a system where learners with little knowledge of the problem can label unlabeled data with each other\\\'s help and this data can be used to train learners. It should be noted that sharing opinions It causes solidarity. In our proposed method, the accuracy of the system is controlled by preventing the correlation effect between users in voting for labeling unlabeled data.

Keywords

, Weak Supervision, Incomplete Supervision, Graph modeling, Graph Neural Networks
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@inproceedings{paperid:1092622,
author = {Ganjbakhsh, Ali and Harati, Ahad},
title = {Weakly Supervised Learning in a Group of Learners with Communication},
booktitle = {12th International Conference on Computer and Knowledge Engineering},
year = {2022},
location = {IRAN},
keywords = {Weak Supervision; Incomplete Supervision; Graph modeling; Graph Neural Networks},
}

[Download]

%0 Conference Proceedings
%T Weakly Supervised Learning in a Group of Learners with Communication
%A Ganjbakhsh, Ali
%A Harati, Ahad
%J 12th International Conference on Computer and Knowledge Engineering
%D 2022

[Download]