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Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10
作者:  Du, Wei;  Ding, Shifei;  Zhang, Chenglong;  Shi, Zhongzhi
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
Reinforcement learning  Multi-agent systems  Aggregates  Task analysis  Scalability  Marine vehicles  Learning systems  Graph attention network  heterogeneous agents  multiagent reinforcement learning (MARL)  relationship-level attention  
Multi-feature fusion deep networks 期刊论文
NEUROCOMPUTING, 2016, 卷号: 218, 页码: 164-171
作者:  Ma, Gang;  Yang, Xi;  Zhang, Bo;  Shi, Zhongzhi
收藏  |  浏览/下载：41/0  |  提交时间：2019/12/13
Deep networks  Denoising autoencoder  Interpretability  Discriminativeness  
Learning deep representations via extreme learning machines 期刊论文
NEUROCOMPUTING, 2015, 卷号: 149, 页码: 308-315
作者:  Yu, Wenchao;  Zhuang, Fuzhen;  He, Qing;  Shi, Zhongzhi
收藏  |  浏览/下载：39/0  |  提交时间：2019/12/13
Extreme learning machine  Deep learning  Representation learning  Stacked ELMs  Stacked generalization  DrELM  
Fusing semantic aspects for image annotation and retrieval 期刊论文
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2010, 卷号: 21, 期号: 8, 页码: 798-805
作者:  Li, Zhixin;  Shi, Zhiping;  Liu, Xi;  Li, Zhiqing;  Shi, Zhongzhi
收藏  |  浏览/下载：39/0  |  提交时间：2019/12/16
Automatic image annotation  Latent aspect model  PLSA  Adaptive asymmetric learning  Image retrieval  Semantic gap  Visual feature  Textual word  
Optimization feature compression and FNN realization 期刊论文
INTELLIGENT CONTROL AND AUTOMATION, 2006, 卷号: 344, 页码: 951-956
作者:  Ding, Shifei;  Wang, Yuncheng;  Shi, Zhongzhi;  Jin, Fengxiang
收藏  |  浏览/下载：38/0  |  提交时间：2019/12/16
pattern recognition  optimization feature compression  entropy density function (EDF)  representation entropy (RE)  feedforward neural network (FNN)