中国科学院重庆绿色智能技术研究院机构知识库

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限定条件	作者：罗辛    第一作者    专题：大数据挖掘及应用中心    第一作者的第一单位    第一作者单位    通讯作者单位

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	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：130/0  |  提交时间：2019/06/25
	An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications 期刊论文 IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022 作者:  Luo, Xin;  Zhou, Mengchu;  Li, Shuai;  Shang, Mingsheng Adobe PDF(805Kb)  |  收藏  |  浏览/下载：415/0  |  提交时间：2019/06/26
	Performance of symmetric non-negative matrix factorization-based community detector with learning depth variations 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:  Qu, Qingxiu;  Luo, Xin 收藏  |  浏览/下载：91/0  |  提交时间：2019/06/25
	Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107 作者:  Luo, Xin;  Sun, Jianpei;  Wang, Zidong;  Li, Shuai;  Shang, Mingsheng Adobe PDF(803Kb)  |  收藏  |  浏览/下载：427/0  |  提交时间：2018/03/05 Big data application  high-dimensional, and sparse (SHiDS) matrix  nonnegative latent factor (NLF) model  symmetry  undirected HiDS network
	Performance of latent factor models with extended linear biases 期刊论文 Knowledge-Based Systems, 2017, 卷号: 123, 页码: 128-136 作者:  Chen, Jia;  Luo, Xin;  Yuan, Ye;  Shang, Mingsheng;  Ming, Zhong;  Xiong, Zhang Adobe PDF(2755Kb)  |  收藏  |  浏览/下载：97/0  |  提交时间：2018/03/16
	A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices 期刊论文 IEEE ACCESS, 2016, 卷号: 4, 页码: 2649-2655 作者:  Luo, Xin;  Zhou, Mengchu;  Shang, Mingsheng;  Li, Shuai;  Xia, Yunni Adobe PDF(9487Kb)  |  收藏  |  浏览/下载：879/1  |  提交时间：2018/03/15 Latent factors  non-negativity  matrix factorization  non-negative big sparse matrix  big data  recommender system
	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：90/0  |  提交时间：2018/03/16