SGD-Based Cascade Scheme for Higher Degrees Wiener Polynomial Approximation of Large Biomedical Datasets

SGD-Based Cascade Scheme for Higher Degrees Wiener Polynomial Approximation of Large Biomedical Datasets

The modern development of the biomedical engineering area is accompanied by the availability of large volumes of data with a non-linear response surface. The effective analysis of such data requires the development of new, more productive machine learning methods. This paper proposes a cascade ensem...

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Bibliographic Details
Main Authors: Ivan Izonin, Roman Tkachenko, Rostyslav Holoven, Kyrylo Yemets, Myroslav Havryliuk, Shishir Kumar Shandilya
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Machine Learning and Knowledge Extraction
Subjects:
ensemble learning
biomedical engineering
approximation
Wiener polynomial
SGD
fast machine learning
Online Access:https://www.mdpi.com/2504-4990/4/4/55

Internet

https://www.mdpi.com/2504-4990/4/4/55

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