CSpace

浏览/检索结果: 共6条,第1-6条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Parameter Estimation with the Ordered l(2) Regularization via an Alternating Direction Method of Multipliers 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 20, 页码: 17
作者:  Humayoo, Mahammad;  Cheng, Xueqi
收藏  |  浏览/下载:82/0  |  提交时间:2020/12/10
ADMM  big data  feature selection  optimization  ridge regression  ordered regularization  elastic net  
Learning representations for quality estimation of crowdsourced submissions 期刊论文
INFORMATION PROCESSING & MANAGEMENT, 2019, 卷号: 56, 期号: 4, 页码: 1484-1493
作者:  Lyu, Shanshan;  Ouyang, Wentao;  Shen, Huawei;  Cheng, Xueqi
收藏  |  浏览/下载:277/0  |  提交时间:2019/08/16
Crowdsourcing  Quality estimation  Embedding  
Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2019, 卷号: 31, 期号: 6, 页码: 1181-1193
作者:  Xu, Jun;  Zeng, Wei;  Lan, Yanyan;  Guo, Jiafeng;  Cheng, Xueqi
收藏  |  浏览/下载:80/0  |  提交时间:2019/08/16
Learning to rank  ranking SVM  parameter interactions  low-rank approximation  
Self-learning and embedding based entity alignment 期刊论文
KNOWLEDGE AND INFORMATION SYSTEMS, 2019, 卷号: 59, 期号: 2, 页码: 361-386
作者:  Guan, Saiping;  Jin, Xiaolong;  Wang, Yuanzhuo;  Jia, Yantao;  Shen, Huawei;  Li, Zixuan;  Cheng, Xueqi
收藏  |  浏览/下载:87/0  |  提交时间:2019/08/16
Entity alignment  Knowledge graph  Self-learning  Embedding  
Modeling Information Diffusion with the External Environment in Social Networks 期刊论文
JOURNAL OF INTERNET TECHNOLOGY, 2019, 卷号: 20, 期号: 2, 页码: 369-377
作者:  Yang, Dingda;  Liao, Xiangwen;  Wei, Jingjing;  Chen, Guolong;  Cheng, Xueqi
收藏  |  浏览/下载:72/0  |  提交时间:2019/08/16
Social networks  Information diffusion  External environment  
Trend-Smooth: Accelerate Asynchronous SGD by Smoothing Parameters Using Parameter Trends 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 156848-156859
作者:  Cui, Guoxin;  Guo, Jiafeng;  Fan, Yixing;  Lan, Yanyan;  Cheng, Xueqi
收藏  |  浏览/下载:35/0  |  提交时间:2020/12/10
Training  Market research  Acceleration  Convergence  Servers  Stochastic processes  Machine learning  Parameter trend  asynchronous SGD  accelerate training