Ordinal Classification Using Single-Model Evidential Extreme Learning Machine-Reference-Cited by-同舟云学术

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Ordinal Classification Using Single-Model Evidential Extreme Learning Machine

Published:2022 Issue: Volume: Page:67-76
ISSN:0302-9743
Container-title:Belief Functions: Theory and Applications
language:
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Author:

Ma Liyao,Wei Peng,Sun Bin

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-17801-6_7

Reference15 articles.

1. Gutierrez, P.A., Perez-Ortiz, M., Sanchez-Monedero, J., et al.: Ordinal regression methods: survey and experimental study. IEEE Trans. Knowl. Data Eng. 28(1), 127–146 (2016)

2. Xiao, Y., Li, X., Liu, B., et al.: Multi-view support vector ordinal regression with data uncertainty. Inf. Sci. 589, 516–530 (2022)

3. Lucas, K., Lisa, H., Torsten, H., et al.: Deep and interpretable regression models for ordinal outcomes. Pattern Recogn. 122, 108263 (2022)

4. Destercke, S.: On the median in imprecise ordinal problems. Ann. Oper. Res. 256(2), 375–392 (2017)

5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);S Destercke,2014

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Apple Grading Method Based on Single-Model Evidential Ordinal ELM Model;2022 International Conference on Advanced Mechatronic Systems (ICAMechS);2022-12-17

2. A discussion on mass function generation for EORELM-based apple grading;2022 International Conference on Advanced Mechatronic Systems (ICAMechS);2022-12-17

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