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共13条,第1-10条
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出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
语种:英语
资助机构:National Natural Science Foundation of China
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Semisupervised Progressive Representation Learning for Deep Multiview Clustering
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Chen, Rui
;
Tang, Yongqiang
;
Xie, Yuan
;
Feng, Wenlong
;
Zhang, Wensheng
收藏
  |  
浏览/下载:103/0
  |  
提交时间:2023/11/17
Representation learning
Training
Data models
Task analysis
Complexity theory
Semisupervised learning
Optimization
Deep clustering
multiview clustering
progressive sample learning
semisupervised learning
A Self-Attention-Based Deep Reinforcement Learning Approach for AGV Dispatching Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 12
作者:
Wei, Qinglai
;
Yan, Yutian
;
Zhang, Jie
;
Xiao, Jun
;
Wang, Cong
收藏
  |  
浏览/下载:217/0
  |  
提交时间:2023/01/09
Automated guided vehicle (AGV) dispatching
deep learning
reinforcement learning (RL)
self-attention
Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:
Wang, Peisong
;
He, Xiangyu
;
Cheng, Jian
收藏
  |  
浏览/下载:233/0
  |  
提交时间:2022/07/25
Quantization (signal)
Deep learning
Convolution
Training
Biological neural networks
Optimization
Neurons
Acceleration
binarized neural networks (BNNs)
compression
fixed-point quantization
VGN: Value Decomposition With Graph Attention Networks for Multiagent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:
Wei, Qinglai
;
Li, Yugu
;
Zhang, Jie
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:222/0
  |  
提交时间:2022/07/25
Mathematical models
Task analysis
Games
Q-learning
Neural networks
Behavioral sciences
Training
Deep learning
graph attention networks (GATs)
multiagent systems
reinforcement learning
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)
  |  
收藏
  |  
浏览/下载:320/46
  |  
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
Machine Learning for Structure Determination in Single-Particle Cryo-Electron Microscopy: A Systematic Review
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 452-472
作者:
Wu, Jia-Geng
;
Yan, Yang
;
Zhang, Dong-Xu
;
Liu, Bo-Wen
;
Zheng, Qing-Bing
;
Xie, Xiao-Liang
;
Liu, Shi-Qi
;
Ge, Sheng-Xiang
;
Hou, Zeng-Guang
;
Xia, Ning-Shao
收藏
  |  
浏览/下载:263/0
  |  
提交时间:2022/03/17
Machine learning
Periodic structures
Task analysis
Proteins
Photomicrography
Coronaviruses
Machine learning algorithms
Clustering
deep learning (DL)
image processing
machine learning
neural network (NN)
single-particle cryo-electron microscopy (cryo-EM)
Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:
Yin, Yingjie
;
Xu, De
;
Wang, Xingang
;
Zhang, Lei
收藏
  |  
浏览/下载:190/0
  |  
提交时间:2022/02/16
Feature extraction
Kernel
Object segmentation
Faces
Probabilistic logic
Learning systems
Image segmentation
Deep appearance learning
directional deep embedding learning
directional statistics-based learning
video object segmentation (VOS)
GPENs: Graph Data Learning With Graph Propagation-Embedding Networks
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:
Jiang, Bo
;
Wang, Leiling
;
Cheng, Jian
;
Tang, Jin
;
Luo, Bin
收藏
  |  
浏览/下载:186/0
  |  
提交时间:2022/01/27
Task analysis
Computer architecture
Semisupervised learning
Deep learning
Laplace equations
Data models
Labeling
Graph embedding
graph neural networks (GNNs)
graph propagation
semi-supervised learning
Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Wang, Guanan
;
Hu, Qinghao
;
Yang, Yang
;
Cheng, Jian
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:208/0
  |  
提交时间:2022/01/27
Data models
Semantics
Force
Computational modeling
Hash functions
Binary codes
Training data
Adversarial learning (AL)
deep learning
hashing
Drill the Cork of Information Bottleneck by Inputting the Most Important Data
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Peng, Xinyu
;
Zhang, Jiawei
;
Wang, Fei-Yue
;
Li, Li
收藏
  |  
浏览/下载:197/0
  |  
提交时间:2022/01/27
Training
Signal to noise ratio
Mutual information
Optimization
Convergence
Deep learning
Tools
Information bottleneck (IB) theory
machine learning
minibatch stochastic gradient descent (SGD)
typicality sampling