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

被引：0

作者：

Chen, Badong ^{[1
]}

Yu, Shujian ^{[2
]}

Jenssen, Robert ^{[3
]}

Principe, Jose C. ^{[4
]}

Mueller, Klaus-Robert ^{[5
]}

机构：

[1] Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot, Xian 710049, Peoples R China

[2] Vrije Univ Amsterdam, Dept Comp Sci, NL-1081 HV Amsterdam, Netherlands

[3] UiT Arctic Univ Norway, Machine Learning Grp, N-9019 Tromso, Norway

[4] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA

[5] Tech Univ Berlin, Machine Learning Grp, D-10623 Berlin, Germany

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2025年 / 36卷 / 02期

关键词：

Special issues and sections; Information theory; Machine learning; Artificial neural networks; Artificial intelligence; Reinforcement learning; Mutual information; Machine learning algorithms; Robustness;

D O I：

10.1109/TNNLS.2025.3525991

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

引用

页码：1957 / 1958

页数：2

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