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International Journal of Machine Learning and Cybernetics
Published in: International Journal of Machine Learning and Cybernetics 3/2022

11-02-2022 | Editorial

Editorial: New trends on machine learning applied to information processing under uncertainty

Authors: Li Zou, Luis Martínez, Jun Liu, Xiaoping Qiu, Xingxing He

Published in: International Journal of Machine Learning and Cybernetics | Issue 3/2022

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Excerpt

The digitalization era has brought an increasing presence of data-driven systems in all fields, activities and processes related to human-beings machine learning in which uncertainty plays a significant role. Generally, the uncertainty in machine learning may be due to two reasons: data uncertainty (noise) and model uncertainty (or imperfect model of the problems). Disregarding the reason, uncertainty in information processing applications will make decision-making process much harder. Many effective machine learning methods have been developed to model uncertainty and revealed beneficial for a better decision-making process such as Bayesian Deep Learning, combination of fuzzy logic with neural networks, Rough set theory, Imprecise probability, etc. Therefore, the research in this direction is becoming very popular among researchers due to its high performance and successful results. …
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Metadata
Title
Editorial: New trends on machine learning applied to information processing under uncertainty
Authors
Li Zou
Luis Martínez
Jun Liu
Xiaoping Qiu
Xingxing He
Publication date
11-02-2022
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Machine Learning and Cybernetics / Issue 3/2022
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-022-01504-y

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