Guest Editorial: Special Issue on Information Theoretic Methods for the Generalization, Robustness, and Interpretability of Machine Learning

Badong Chen; Shujian Yu; Robert Jenssen; Jose C. Principe; Klaus Robert Muller

doi:10.1109/TNNLS.2025.3525991

Guest Editorial: Special Issue on Information Theoretic Methods for the Generalization, Robustness, and Interpretability of Machine Learning

Badong Chen
, Shujian Yu
, Robert Jenssen
, Jose C. Principe
, Klaus Robert Muller

电子与信息学部

Vrije Universiteit Amsterdam
University of Tromsø – The Arctic University of Norway
University of Florida
Technical University of Berlin

科研成果: 期刊稿件 › 社论

源语言	英语
页（从-至）	1957-1958
页数	2
期刊	IEEE Transactions on Neural Networks and Learning Systems
卷	36
期	2
DOI	https://doi.org/10.1109/TNNLS.2025.3525991
出版状态	已出版 - 2025

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10.1109/TNNLS.2025.3525991

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引用此

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title = "Guest Editorial: Special Issue on Information Theoretic Methods for the Generalization, Robustness, and Interpretability of Machine Learning",

author = "Badong Chen and Shujian Yu and Robert Jenssen and Principe, \{Jose C.\} and Muller, \{Klaus Robert\}",

year = "2025",

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language = "英语",

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AU - Chen, Badong

AU - Yu, Shujian

AU - Jenssen, Robert

AU - Principe, Jose C.

AU - Muller, Klaus Robert

PY - 2025

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SN - 2162-237X

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SP - 1957

EP - 1958

JO - IEEE Transactions on Neural Networks and Learning Systems

JF - IEEE Transactions on Neural Networks and Learning Systems

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