Distributed Boosting Classification Over Noisy Communication Channels-Reference-Cited by-同舟云学术

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Distributed Boosting Classification Over Noisy Communication Channels

Published:2023-01 Issue:1 Volume:41 Page:141-154
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Kim Yongjune¹^ORCID,Shin Junyoung²,Cassuto Yuval³^ORCID,Varshney Lav R.⁴^ORCID

Affiliation:

1. Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, South Korea

2. Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea

3. Viterbi Department of Electrical and Computer Engineering, Technion–Israel Institute of Technology, Haifa, Israel

4. Coordinated Science Laboratory, University of Illinois at Urbana–Champaign, Urbana, IL, USA

Funder

IITP

MSIT

Israel Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/49/9991040/09953081.pdf?arnumber=9953081

Reference42 articles.

1. Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms;xiao;ArXiv 1708 07747,2017

2. Boosting Neural Networks

3. Training methods for adaptive boosting of neural networks;schwenk;Proc Annu Conf Neural Inf Process Syst (NIPS),1997

4. AdaBoost with SVM-based component classifiers

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