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An Accurate and Efficient Large-Scale Regression Method Through Best Friend Clustering 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 卷号: 33, 期号: 11, 页码: 3129-3140
作者:  Li, Kun;  Yuan, Liang;  Zhang, Yunquan;  Chen, Gongwei
收藏  |  浏览/下载:34/0  |  提交时间:2022/12/07
Clustering algorithms  Training  Mathematical models  Computational modeling  Libraries  Kernel  Support vector machines  Distributed machine learning  scalable algorithm  large-scale clustering  parallel regression  
2D-HRA: Two-Dimensional Hierarchical Ring-Based All-Reduce Algorithm in Large-Scale Distributed Machine Learning 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 183488-183494
作者:  Jiang, Youhe;  Gu, Huaxi;  Lu, Yunfeng;  Yu, Xiaoshan
收藏  |  浏览/下载:32/0  |  提交时间:2021/12/01
Distributed machine learning  large-scale cluster  topology  communication overhead  all-reduce  
Scheduling-Efficient Framework for Neural Network on Heterogeneous Distributed Systems and Mobile Edge Computing Systems 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 171853-171863
作者:  Zhou, Xiang;  Zhang, Jilin;  Wan, Jian;  Zhou, Li;  Wei, Zhenguo;  Zhang, Juncong
收藏  |  浏览/下载:42/0  |  提交时间:2020/12/10
Heterogeneous distributed system  mobile edge computing system  adaptive scheduling  large-scale machine learning  
Boosted Near-miss Under-sampling on SVM ensembles for concept detection in large-scale imbalanced datasets 期刊论文
NEUROCOMPUTING, 2016, 卷号: 172, 页码: 198-206
作者:  Bao, Lei;  Juan, Cao;  Li, Jintao;  Zhang, Yongdong
收藏  |  浏览/下载:39/0  |  提交时间:2019/12/13
Concept learning  Large-scale  Imbalance  Ensmeble learnning  Support Vector Machine  Boosted  Near-miss  Under-sampling