CSpace

浏览/检索结果: 共8条,第1-8条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications 会议论文
15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018, Zhuhai, China, March 27, 2018 - March 29, 2018
作者:  Chen, Jia;  Luo, Xin
Adobe PDF(5259Kb)  |  收藏  |  浏览/下载:129/0  |  提交时间:2019/06/25
Unconstrained Non-negative Factorization of High-dimensional and Sparse Matrices in Recommender Systems 会议论文
14th IEEE International Conference on Automation Science and Engineering, CASE 2018, Munich, Germany, August 20, 2018 - August 24, 2018
作者:  Luo, Xin;  Zhou, Mengchu
收藏  |  浏览/下载:83/0  |  提交时间:2019/06/25
Efficient extraction of non-negative latent factors from high-dimensional and sparse matrices in industrial applications 会议论文
16th IEEE International Conference on Data Mining, ICDM 2016, Barcelona, Catalonia, Spain, December 12, 2016 - December 15, 2016
作者:  Luo, Xin;  Shang, Mingsheng;  Li, Shuai
收藏  |  浏览/下载:55/0  |  提交时间:2018/03/16
Symmetric non-negative latent factor models for undirected large networks 会议论文
26th International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, VIC, Australia, August 19, 2017 - August 25, 2017
作者:  Luo, Xin;  Shang, Ming-Sheng
收藏  |  浏览/下载:64/0  |  提交时间:2018/03/16
Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender systems 会议论文
14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017, Calabria, Italy, May 16, 2017 - May 18, 2017
作者:  Yuan, Ye;  Luo, Xin;  Shang, Ming-Sheng;  Cai, Xin-Yi
Adobe PDF(717Kb)  |  收藏  |  浏览/下载:110/0  |  提交时间:2018/03/16
Non-negativity constrained missing data estimation for high-dimensional and sparse matrices 会议论文
13th IEEE Conference on Automation Science and Engineering, CASE 2017, Xi'an, China, August 20, 2017 - August 23, 2017
作者:  Luo, Xin;  Li, Shuai
收藏  |  浏览/下载:114/0  |  提交时间:2020/02/18
Sparse non-negative matrix factorization with generalized kullback-leibler divergence 会议论文
17th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, Yangzhou, China, October 12, 2016 - October 14, 2016
作者:  Chen, Jingwei;  Feng, Yong;  Liu, Yang;  Tang, Bing;  Wu, Wenyuan
Adobe PDF(1029Kb)  |  收藏  |  浏览/下载:120/0  |  提交时间:2018/03/16
Regularizaed extraction of non-negative latent factors from high-dimensional sparse matrices 会议论文
2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, Budapest, Hungary, October 9, 2016 - October 12, 2016
作者:  Luo, Xin;  Li, Shuai;  Zhou, Mengchu
Adobe PDF(764Kb)  |  收藏  |  浏览/下载:89/0  |  提交时间:2018/03/16