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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Lin, Xixun
;
Li, Zhao
;
Zhang, Peng
;
Liu, Luchen
;
Zhou, Chuan
;
Wang, Bin
;
Tian, Zhihong
收藏
  |  
浏览/下载:105/0
  |  
提交时间:2023/02/07
Task analysis
Kernel
Training
Decoding
Stochastic processes
Predictive models
Computational modeling
Few-shot learning
graph classification
graph neural networks (GNNs)
neural process (NP)
Adversarial Information Bottleneck
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10
作者:
Zhai, Penglong
;
Zhang, Shihua
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2023/02/07
Robustness
Optimization
Mutual information
Deep learning
Perturbation methods
Training
Task analysis
Adversarial robustness
deep learning
hyperparameter selection
information bottleneck (IB)
Model-Free Reinforcement Learning by Embedding an Auxiliary System for Optimal Control of Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 4, 页码: 1520-1534
作者:
Xu, Zhenhui
;
Shen, Tielong
;
Cheng, Daizhan
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  |  
浏览/下载:86/0
  |  
提交时间:2022/06/21
Mathematical model
Trajectory
Heuristic algorithms
Optimal control
System dynamics
Artificial neural networks
Convergence
Approximate optimal control design
auxiliary trajectory
completely model-free
integral reinforcement learning (IRL)
A Comprehensive Survey on Community Detection With Deep Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 21
作者:
Su, Xing
;
Xue, Shan
;
Liu, Fanzhen
;
Wu, Jia
;
Yang, Jian
;
Zhou, Chuan
;
Hu, Wenbin
;
Paris, Cecile
;
Nepal, Surya
;
Jin, Di
;
Sheng, Quan Z.
;
Yu, Philip S.
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  |  
浏览/下载:142/0
  |  
提交时间:2022/04/29
Deep learning
Taxonomy
Optimization
Partitioning algorithms
Clustering algorithms
Social networking (online)
Peer-to-peer computing
Community detection
deep learning
graph neural network
network representation
social networks
Approximation capabilities of measure-preserving neural networks
期刊论文
NEURAL NETWORKS, 2022, 卷号: 147, 页码: 72-80
作者:
Zhu, Aiqing
;
Jin, Pengzhan
;
Tang, Yifa
收藏
  |  
浏览/下载:113/0
  |  
提交时间:2022/06/21
Measure-preserving
Neural networks
Dynamical systems
Approximation theory
A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai-Borwein Stepsizes
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4627-4638
作者:
Yu, Tengteng
;
Liu, Xin-Wei
;
Dai, Yu-Hong
;
Sun, Jie
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  |  
浏览/下载:117/0
  |  
提交时间:2022/04/02
Convergence
Convex functions
Risk management
Gradient methods
Learning systems
Sun
Barzilai-Borwein (BB) method
empirical risk minimization (ERM)
proximal method
stochastic gradient
trust-region
A Minimax Probability Machine for Nondecomposable Performance Measures
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Luo, Junru
;
Qiao, Hong
;
Zhang, Bo
收藏
  |  
浏览/下载:141/0
  |  
提交时间:2022/04/02
Measurement
Task analysis
Covariance matrices
Support vector machines
Prediction algorithms
Minimization
Kernel
Imbalanced classification
minimax probability machine
nondecomposable performance measures
Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Lan, Hui
;
Liu, Ziquan
;
Hsiao, Janet H.
;
Yu, Dan
;
Chan, Antoni B.
收藏
  |  
浏览/下载:147/0
  |  
提交时间:2022/04/02
Hidden Markov models
Bayes methods
Data models
Computational modeling
Mixture models
Clustering algorithms
Analytical models
Clustering
hidden Markov mixture model (H3M)
hierarchical EM
variational Bayesian (VB)
Online Active Learning for Drifting Data Streams
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Liu, Sanmin
;
Xue, Shan
;
Wu, Jia
;
Zhou, Chuan
;
Yang, Jian
;
Li, Zhao
;
Cao, Jie
收藏
  |  
浏览/下载:148/0
  |  
提交时间:2022/04/02
Labeling
Data models
Uncertainty
Biological system modeling
Computational modeling
Cognition
Adaptation models
Active learning
concept drift
data stream classification
online incremental learning
Observer-Based Output Feedback Event-Triggered Adaptive Control for Linear Multiagent Systems Under Switching Topologies
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:
Zhang, Juan
;
Zhang, Huaguang
;
Zhang, Kun
;
Cai, Yuliang
收藏
  |  
浏览/下载:108/0
  |  
提交时间:2022/04/02
Topology
Protocols
Synchronization
Switches
Consensus control
Output feedback
Adaptive control
Adaptive control
event-triggered control
output feedback control
switching topologies