Fuzzy regression functions with a noise cluster and the impact of outliers on mainstream machine learning methods in the regression setting-Reference-Cited by-同舟云学术

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Fuzzy regression functions with a noise cluster and the impact of outliers on mainstream machine learning methods in the regression setting

Published:2020-11 Issue: Volume:96 Page:106535
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Chakravarty Srinivas,Demirhan Haydar^ORCID,Baser Furkan^ORCID

Funder

RMIT University

Publisher

Elsevier BV

Subject

Software

Reference66 articles.

1. Y. Li, P. Zhou, An outlier detection method and its application to multicore-chip power estimation, in: Proceedings of International Conference on ASIC, 2018, pp. 460–463.

2. Robust support vector machine with generalized quantile loss for classification and regression;Yang;Appl. Soft Comput. J.,2019

3. A novel approach to remove outliers for parallel voice conversion;Shah;Comput. Speech Lang.,2019

4. Median-Pi artificial neural network for forecasting;Egrioglu;Neural Comput. Appl.,2019

5. Relaxed support vector regression;Panagopoulos;Ann. Oper. Res.,2019

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