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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发表日期：2016

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	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：875/1  |  提交时间：2018/03/15 Latent factors  non-negativity  matrix factorization  non-negative big sparse matrix  big data  recommender system
	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