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
收藏
页码：1957 / 1958
页数：2
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