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基于阅读技巧识别和双通道融合机制的机器阅读理解方法 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 5, 页码: 958-969
作者:  彭伟;  胡玥;  李运鹏;  谢玉强;  牛晨旭
Adobe PDF(2161Kb)  |  收藏  |  浏览/下载：5/2  |  提交时间：2024/05/30
机器阅读理解  阅读技巧识别  对比学习  双通道融合机制  
Generalized Embedding Machines for Recommender Systems 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 571-584
作者:  Enneng Yang;  Xin Xin;  Li Shen;  Yudong Luo;  Guibing Guo
Adobe PDF(1617Kb)  |  收藏  |  浏览/下载：16/8  |  提交时间：2024/05/23
Feature interactions, high-order interaction, factorization machine (FM), recommender system, graph neural network (GNN)  
Dual Frequency Transformer for Efficient SDR-to-HDR Translation 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 538-548
作者:  Gang Xu;  Qibin Hou;  Ming-Ming Cheng
Adobe PDF(2981Kb)  |  收藏  |  浏览/下载：17/9  |  提交时间：2024/05/23
Standard-dynamic-range to high-dynamic-range (SDR-to-HDR) translation, Transformer, dual frequency attention (DFA), frequency-aware feature decomposition, efficient model  
Ripple Knowledge Graph Convolutional Networks for Recommendation Systems 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 481-494
作者:  Chen Li;  Yang Cao;  Ye Zhu;  Debo Cheng;  Chengyuan Li;  Yasuhiko Morimoto
Adobe PDF(3688Kb)  |  收藏  |  浏览/下载：12/7  |  提交时间：2024/05/23
Deep learning, recommendation systems, knowledge graph, graph convolutional networks (GCNs), graph neural networks (GNNs)  
Collective Movement Simulation: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 452-480
作者:  Hua Wang;  Xing-Yu Guo;  Hao Tao;  Ming-Liang Xu
Adobe PDF(1439Kb)  |  收藏  |  浏览/下载：11/7  |  提交时间：2024/05/23
Collective movement simulation, multiple objects, multiple discipline, simulation effect, collective intelligence  
Parsing Objects at a Finer Granularity: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 431-451
作者:  Yifan Zhao;  Jia Li;  Yonghong Tian
Adobe PDF(1743Kb)  |  收藏  |  浏览/下载：8/6  |  提交时间：2024/05/23
Finer granularity, visual parsing, part segmentation, fine-grained object recognition, part relationship  
Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 411-430
作者:  Qiyue Yin;  Tongtong Yu;  Shengqi Shen;  Jun Yang;  Meijing Zhao;  Wancheng Ni;  Kaiqi Huang;  Bin Liang;  Liang Wang
Adobe PDF(2923Kb)  |  收藏  |  浏览/下载：12/6  |  提交时间：2024/05/23
Deep reinforcement learning, distributed machine learning, self-play, population-play, toolbox  
Recurrent neural network inspired finite-time control design 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1527-1529
作者:  Jianan Liu;  Shihua Li;  Rongjie Liu
Adobe PDF(1176Kb)  |  收藏  |  浏览/下载：12/5  |  提交时间：2024/05/22
The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1313-1316
作者:  Tianyu Shen;  Jinlin Sun;  Shihan Kong;  Yutong Wang;  Juanjuan Li;  Xuan Li;  Fei-Yue Wang
Adobe PDF(682Kb)  |  收藏  |  浏览/下载：7/3  |  提交时间：2024/05/22
结合领域知识的因子分析:在金融风险模型上的应用 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 1, 页码: 121-132
作者:  冯栩;  喻文健;  李凌
Adobe PDF(1436Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/05/20
因子分析  基本面因子  领域知识  风险模型  期望最大化过程