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出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
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Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Fu, Kaicheng
;
Du, Changde
;
Wang, Shengpei
;
He, Huiguang
Adobe PDF(4570Kb)
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浏览/下载:244/61
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提交时间:2022/12/27
Decoding
Brain modeling
Functional magnetic resonance imaging
Predictive models
Emotion recognition
Dimensionality reduction
Pattern recognition
Fine-grained emotion decoding
multi-label learning
multi-view learning
product of experts (PoEs)
variational autoencoder
Attention Enhanced Reinforcement Learning for Multi agent Cooperation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Pu, Zhiqiang
;
Wang, Huimu
;
Liu, Zhen
;
Yi, Jianqiang
;
Wu, Shiguang
Adobe PDF(2967Kb)
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浏览/下载:295/41
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提交时间:2022/06/06
Training
Reinforcement learning
Games
Scalability
Task analysis
Standards
Optimization
Attention mechanism
deep reinforcement learning (DRL)
graph convolutional networks
multi agent systems
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L-1 Loss
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 762-773
作者:
Chen, Yaran
;
Li, Haoran
;
Gao, Ruiyuan
;
Zhao, Dongbin
Adobe PDF(2082Kb)
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浏览/下载:228/46
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提交时间:2022/03/17
3-D object detection
generalized Intersection of Union (GIoU) loss
segmentation
Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 0
作者:
Liu, Fei
;
Liu, Jing
;
Hong, Richang
;
Lu, Hanqing
Adobe PDF(3550Kb)
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浏览/下载:307/75
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提交时间:2022/01/27
video question answering
attention mechanism
metric learning
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Chai, Jiajun
;
Li, Weifan
;
Zhu, Yuanheng
;
Zhao, Dongbin
;
Ma, Zhe
;
Sun, Kewu
;
Ding, Jishiyu
Adobe PDF(3402Kb)
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浏览/下载:230/24
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提交时间:2022/01/27
Multi-agent systems
Training
Task analysis
Reinforcement learning
Sun
Learning systems
Semantics
Centralized training with decentralized execution (CTDE)
multiagent
reinforcement learning
StarCraft II
Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 1-7
作者:
Wang RQ(王瑞琪)
;
Zhang XY(张煦尧)
;
Liu CL(刘成林)
Adobe PDF(1403Kb)
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浏览/下载:230/47
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提交时间:2022/01/27
domain-agnostic few-shot recognition
image classification
meta-learning
prototypical learning
Bioinspired Gain-Modulated Recurrent Neural Network for Controlling Musculoskeletal Robot
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 16
作者:
Zhong, Shanlin
;
Zhou, Junjie
;
Qiao, Hong
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浏览/下载:209/0
  |  
提交时间:2022/01/27
Robots
Modulation
Robot kinematics
Neurons
Brain modeling
Recurrent neural networks
Encoding
Biologically inspired control
gain modulation
motor primitives
musculoskeletal robot
recurrent neural network (RNN)
Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5245-5256
作者:
Wei, Qinglai
;
Wang, Lingxiao
;
Liu, Yu
;
Polycarpou, Marios M.
Adobe PDF(4019Kb)
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浏览/下载:319/75
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提交时间:2021/03/08
Elevators
Optimal control
Backpropagation
Machine learning
Neural networks
Learning (artificial intelligence)
Actor
–critic
adaptive dynamic programming
deep learning (DL)
elevator group control (EGC)
optimal control
reinforcement learning (RL)
Reinforcement Learning-Based Optimal Stabilization for Unknown Nonlinear Systems Subject to Inputs With Uncertain Constraints
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4330-4340
作者:
Zhao, Bo
;
Liu, Derong
;
Luo, Chaomin
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浏览/下载:198/0
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提交时间:2021/01/07
Nonlinear systems
Optimal control
Artificial neural networks
Actuators
Observers
Feedforward systems
Adaptive dynamic programming (ADP)
neural networks (NNs)
optimal control
reinforcement learning (RL)
uncertain input constraints
unknown nonlinear systems
Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3555-3569
作者:
Qi, Yimeng
;
Jin, Long
;
Wang, Yaonan
;
Xiao, Lin
;
Zhang, Jiliang
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浏览/下载:187/0
  |  
提交时间:2021/01/07
Computational modeling
Convergence
Mathematical model
Recurrent neural networks
Perturbation methods
Robots
Numerical models
Complex domain
discrete-time neural dynamics (DTND)
quasi-Newton Broyden-Fletcher-Goldfarb-Shanno (BFGS)
quadratic programming (QP)