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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：79/0  |  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：197/0  |  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：216/0  |  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：207/0  |  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  
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241
作者:  Zhu, Yuanheng;  Zhao, Dongbin
收藏  |  浏览/下载：194/0  |  提交时间：2022/06/10
Games  Nash equilibrium  Mathematical model  Markov processes  Convergence  Dynamic programming  Training  Deep reinforcement learning (DRL)  generalized policy iteration (GPI)  Markov game (MG)  Nash equilibrium  Q network  zero sum  
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：292/41  |  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  
Towards Better Generalization of Deep Neural Networks via Non-Typicality Sampling Scheme 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 11
作者:  Peng, Xinyu;  Wang, Fei-Yue;  Li, Li
收藏  |  浏览/下载：159/0  |  提交时间：2022/06/06
Training  Estimation  Deep learning  Standards  Optimization  Noise measurement  Convergence  Deep learning  generalization performance  nontypicality sampling scheme  stochastic gradient descent (SGD)  
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：236/0  |  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)  
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：174/0  |  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  
Antidecay LSTM for Siamese Tracking With Adversarial Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4475-4489
作者:  Zhao, Fei;  Zhang, Ting;  Wu, Yi;  Tang, Ming;  Wang, Jinqiao
收藏  |  浏览/下载：219/0  |  提交时间：2021/12/28
Target tracking  Feature extraction  Computer architecture  Visualization  Training  Task analysis  Adversarial learning  deep learning  long short-term memory (LSTM)  visual tracking