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：2018

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	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 收藏  |  浏览/下载：508/0  |  提交时间：2018/07/02 Big data  high-dimensional and sparse matrix  learning algorithms  missing-data estimation  nonnegative latent factor analysis  optimization methods recommender system
	Popularity and Novelty Dynamics in Evolving Networks 期刊论文 SCIENTIFIC REPORTS, 2018, 卷号: 8, 页码: 10 作者:  Abbas, Khushnood;  Shang, Mingsheng;  Abbasi, Alireza;  Luo, Xin;  Xu, Jian Jun;  Zhang, Yu-Xia Adobe PDF(2105Kb)  |  收藏  |  浏览/下载：266/0  |  提交时间：2018/06/04
	Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 4, 页码: 1216-1228 作者:  Luo, Xin;  Zhou, MengChu;  Li, Shuai;  Xia, Yunni;  You, Zhu-Hong;  Zhu, QingSheng;  Leung, Hareton 收藏  |  浏览/下载：519/0  |  提交时间：2018/06/04 Big data  latent factor model  missing data prediction  quality-of-service (QoS)  second-order solver  service computing sparse matrices  Web service
	Heavy metals in soils of Hechuan County in the upper Yangtze (SW China): Comparative pollution assessment using multiple indices with high-spatial-resolution sampling 期刊论文 ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2018, 卷号: 148, 页码: 644-651 作者:  Ni, Maofei;  Mao, Rong;  Jia, Zhongmin;  Dong, Ruozhu;  Li, Siyue Adobe PDF(468Kb)  |  收藏  |  浏览/下载：143/0  |  提交时间：2018/07/02 Heavy metals  Risk assessment  Source identification  Soil pollution  Yangtze Basin
	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：131/0  |  提交时间：2019/06/25
	Effects of preprocessing and training biases in latent factor models for recommender systems 期刊论文 NEUROCOMPUTING, 2018, 卷号: 275, 页码: 2019-2030 作者:  Yuan, Ye;  Luo, Xin;  Shang, Ming-Sheng 收藏  |  浏览/下载：98/0  |  提交时间：2018/03/05
	Performance of nonnegative latent factor models with β-distance functions in recommender systems 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:  Yuan, Ye;  Luo, Xin 收藏  |  浏览/下载：104/0  |  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：416/0  |  提交时间：2019/06/26
	TCR: Temporal-CNN for Reviews Based Recommendation System 会议论文 2nd International Conference on Deep Learning Technologies, ICDLT 2018, Chongqing, China, June 27, 2018 - June 29, 2018 作者:  Mao, Yelu;  Shi, Xiaoyu;  Shang, Ming-Sheng;  Zhang, Ying Adobe PDF(508Kb)  |  收藏  |  浏览/下载：908/1  |  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：84/0  |  提交时间：2019/06/25