Guest Editorial: Special Issue on Stream Learning

被引：0

作者：

Lu, Jie ^{[1
]}

Gama, Joao ^{[2
]}

Yao, Xin ^{[3
]}

Minku, Leandro ^{[4
]}

机构：

[1] Univ Technol Sydney, Australian Artificial Intelligence Inst, Sydney, NSW 2007, Australia

[2] Univ Porto, Fac Econ, P-4099002 Porto, Portugal

[3] Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Peoples R China

[4] Univ Birmingham, Sch Comp Sci, Birmingham B15 2TT, England

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2023年 / 34卷 / 10期

关键词：

Special issues and sections; Streaming media; Learning systems; Reinforcement learning;

D O I：

10.1109/TNNLS.2023.3304146

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In recent years, learning from streaming data, commonly known as stream learning, has enjoyed tremendous growth and shown a wealth of development at both the conceptual and application levels. Stream learning is highly visible in both the machine learning and data science fields and has become a hot new direction in research. Advancements in stream learning include learning with concept drift detection, that includes whether a drift has occurred; understanding where, when, and how a drift occurs; adaptation by actively or passively updating models; and online learning, active learning, incremental learning, and reinforcement learning in data streaming situations.

引用

页码：6683 / 6685

页数：3

共 21 条

[11] Online Extra Trees Regressor [J].

Mastelini, Saulo Martiello ;

Nakano, Felipe Kenji ;

Vens, Celine ;

de Leon Ferreira de Carvalho, Andre Carlos Ponce .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (10) :6755-6767

[12] Tensor-Empowered Adaptive Learning for Few-Shot Streaming Tasks [J].

Ren, Bocheng ;

Yang, Laurence T. ;

Zhang, Qingchen ;

Feng, Jun ;

Nie, Xin .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (10) :6861-6871

[13] Multimodal Batch-Wise Change Detection [J].

Stucchi, Diego ;

Magri, Luca ;

Carrera, Diego ;

Boracchi, Giacomo .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (10) :6783-6797

[14] Uncertainty Estimation With Neural Processes for Meta-Continual Learning [J].

Wang, Xuesong ;

Yao, Lina ;

Wang, Xianzhi ;

Paik, Hye-Young ;

Wang, Sen .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (10) :6887-6897

[15] Autonomous Cross Domain Adaptation Under Extreme Label Scarcity [J].

Weng, Weiwei ;

Pratama, Mahardhika ;

Zain, Choiru ;

de Carvalho, Marcus ;

Appan, Rakaraddi ;

Ashfahani, Andri ;

Yee, Edward Yapp Kien .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (10) :6839-6850

[16] Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning [J].

Wu, Xingyu ;

Jiang, Bingbing ;

Wang, Xiangyu ;

Ban, Taiyu ;

Chen, Huanhuan .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (10) :6740-6754

[17] Two-Way Concept-Cognitive Learning via Concept Movement Viewpoint [J].

Xu, Weihua ;

Guo, Doudou ;

Mi, Jusheng ;

Qian, Yuhua ;

Zheng, Keyin ;

Ding, Weiping .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (10) :6798-6812

[18] Multicomponent Adversarial Domain Adaptation: A General Framework [J].

Yi, Chang'an ;

Chen, Haotian ;

Xu, Yonghui ;

Chen, Huanhuan ;

Liu, Yong ;

Tan, Haishu ;

Yan, Yuguang ;

Yu, Han .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (10) :6824-6838

[19] HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion [J].

Yu, Fuqiang ;

Cui, Lizhen ;

Chen, Huanhuan ;

Cao, Yiming ;

Liu, Ning ;

Huang, Weiming ;

Xu, Yonghui ;

Lu, Hua .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (10) :6940-6954

[20] Building Fake Review Detection Model Based on Sentiment Intensity and PU Learning [J].

Zhang, Shunxiang ;

Zhu, Aoqiang ;

Zhu, Guangli ;

Wei, Zhongliang ;

Li, KuanChing .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (10) :6926-6939

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