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Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints
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Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints

Sattler, Felix ; Muller, Klaus-Robert ; Samek, Wojciech

IEEE transaction on neural networks and learning systems, 2021-08, Vol.32 (8), p.3710-3722

Piscataway: IEEE

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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Bianchini, Monica ; Scarselli, Franco

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1553-1565

New York, NY: IEEE

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3
Adaptive Neural Network Control for a Class of Nonlinear Systems With Function Constraints on States
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Adaptive Neural Network Control for a Class of Nonlinear Systems With Function Constraints on States

Liu, Yan-Jun ; Zhao, Wei ; Liu, Lei ; Li, Dapeng ; Tong, Shaocheng ; Chen, C. L. Philip

IEEE transaction on neural networks and learning systems, 2023-06, Vol.34 (6), p.2732-2741

United States: IEEE

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Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems
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Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems

Liu, Derong ; Wei, Qinglai

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.621-634

New York, NY: IEEE

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5
Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering
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Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering

Yu, Zhou ; Yu, Jun ; Xiang, Chenchao ; Fan, Jianping ; Tao, Dacheng

IEEE transaction on neural networks and learning systems, 2018-12, Vol.29 (12), p.5947-5959

United States: IEEE

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Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks
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Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks

Gysel, Philipp ; Pimentel, Jon ; Motamedi, Mohammad ; Ghiasi, Soheil

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5784-5789

United States: IEEE

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7
Deep Reinforcement Learning: A Survey
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Deep Reinforcement Learning: A Survey

Wang, Xu ; Wang, Sen ; Liang, Xingxing ; Zhao, Dawei ; Huang, Jincai ; Xu, Xin ; Dai, Bin ; Miao, Qiguang

IEEE transaction on neural networks and learning systems, 2024-04, Vol.35 (4), p.5064-5078

United States: IEEE

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Memristor Crossbar-Based Neuromorphic Computing System: A Case Study
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Memristor Crossbar-Based Neuromorphic Computing System: A Case Study

Miao Hu ; Hai Li ; Yiran Chen ; Qing Wu ; Rose, Garrett S. ; Linderman, Richard W.

IEEE transaction on neural networks and learning systems, 2014-10, Vol.25 (10), p.1864-1878

United States: IEEE

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9
Deep CNN-Based Blind Image Quality Predictor
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Deep CNN-Based Blind Image Quality Predictor

Kim, Jongyoo ; Nguyen, Anh-Duc ; Lee, Sanghoon

IEEE transaction on neural networks and learning systems, 2019-01, Vol.30 (1), p.11-24

United States: IEEE

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Universal Approximation Capability of Broad Learning System and Its Structural Variations
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Universal Approximation Capability of Broad Learning System and Its Structural Variations

Chen, C. L. Philip ; Liu, Zhulin ; Feng, Shuang

IEEE transaction on neural networks and learning systems, 2019-04, Vol.30 (4), p.1191-1204

United States: IEEE

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