中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共65条，第1-10条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
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：52/18  |  提交时间：2024/05/23
Feature interactions, high-order interaction, factorization machine (FM), recommender system, graph neural network (GNN)  
An Empirical Study on Google Research Football Multi-agent Scenarios 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 549-570
作者:  Yan Song;  He Jiang;  Zheng Tian;  Haifeng Zhang;  Yingping Zhang;  Jiangcheng Zhu;  Zonghong Dai;  Weinan Zhang;  Jun Wang
Adobe PDF(24588Kb)  |  收藏  |  浏览/下载：49/11  |  提交时间：2024/05/23
Multi-agent reinforcement learning (RL), distributed RL system, population-based training, reward shaping, game theory  
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：41/18  |  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：41/11  |  提交时间：2024/05/23
Collective movement simulation, multiple objects, multiple discipline, simulation effect, collective intelligence  
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：42/16  |  提交时间：2024/05/23
Deep reinforcement learning, distributed machine learning, self-play, population-play, toolbox  
A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 400-410
作者:  Dezheng Wang;  Yinglong Wang;  Fan Yang;  Liyang Xu;  Yinong Zhang;  Yiran Chen;  Ning Liao
Adobe PDF(3208Kb)  |  收藏  |  浏览/下载：52/10  |  提交时间：2024/04/23
Multi-scale, feature extractor, deep neural network (DNN), multirate sampled industrial processes, prediction  
CASIA-Iris-Africa: A Large-scale African Iris Image Database 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 383-399
作者:  Jawad Muhammad;  Yunlong Wang;  Junxing Hu;  Kunbo Zhang;  Zhenan Sun
Adobe PDF(8969Kb)  |  收藏  |  浏览/下载：40/3  |  提交时间：2024/04/23
African iris recognition, racial bias, iris image database, biometrics, iris recognition  
GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 272-282
作者:  Jing Hu;  Lingfei Wu;  Yu Chen;  Po Hu;  Mohammed J. Zaki
Adobe PDF(1612Kb)  |  收藏  |  浏览/下载：44/11  |  提交时间：2024/04/23
Conversational machine comprehension (MC), reading comprehension, question answering, graph neural networks (GNNs), natural language processing (NLP)  
A Comprehensive Overview of CFN From a Commonsense Perspective 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 239-256
作者:  Ru Li;  Yunxiao Zhao;  Zhiqiang Wang;  Xuefeng Su;  Shaoru Guo;  Yong Guan;  Xiaoqi Han;  Hongyan Zhao
Adobe PDF(2392Kb)  |  收藏  |  浏览/下载：40/11  |  提交时间：2024/04/23
Chinese FrameNet (CFN), commonsense, scenario commonsense, frame, knowledge  
The Life Cycle of Knowledge in Big Language Models: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 217-238
作者:  Boxi Cao;  Hongyu Lin;  Xianpei Han;  Le Sun
Adobe PDF(1430Kb)  |  收藏  |  浏览/下载：46/8  |  提交时间：2024/04/23
Pre-trained language model, knowledge acquisition, knowledge representation, knowledge probing, knowledge editing, knowledge application