Semi-Supervised Learning Algorithm Based on AFS Theory and LogitBoost Algorithm-Reference-Cited by-同舟云学术

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Semi-Supervised Learning Algorithm Based on AFS Theory and LogitBoost Algorithm

Published:2022-07-25 Issue: Volume: Page:
ISSN:
Container-title:2022 41st Chinese Control Conference (CCC)
language:
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Author:

Gao Peng¹,Liu Xiaodong¹

Affiliation:

1. School of Control Science and Engineering, Dalian University of Technology,Faculty of Electronic Information and Electrical Engineering,Dalian,P. R. China,116024

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9901509/9901494/09902002.pdf?arnumber=9902002

Reference35 articles.

1. Abnormal Driving Behavior Detection Based on Covariance Manifold and LogitBoost;li;Laser & Optoelectronics Progress,2018

2. Design of ensemble classifier using Statistical Gradient and Dynamic Weight LogitBoost for malicious tumor detection;bose;Journal of Ambient Intelligence and Humanized Computing,2020

3. The fuzzy sets and systems based on AFS structure;liu;EI Algebra and EII Algbra Fuzzy Sets and Systems,1998

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1. An axiomatic fuzzy set theory-based fault diagnosis approach for rolling bearings;Engineering Applications of Artificial Intelligence;2024-11

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