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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已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序作者升序作者降序题名升序题名降序WOS被引频次升序WOS被引频次降序发表日期升序发表日期降序提交时间升序提交时间降序
	A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices 期刊论文 IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794 作者:  Yuan, Ye;  He, Qiang;  Luo, Xin;  Shang, Mingsheng 收藏  |  浏览/下载：75/0  |  提交时间：2022/08/22 Computational modeling  Sparse matrices  Big Data  Data models  Stochastic processes  Training  Software algorithms  Big data  latent factor analysis  generally multilayered structure  deep forest  multilayered extreme learning machine  randomized-learning  high-dimensional and sparse matrix  stochastic gradient descent  randomized model
	Non-Negative Latent Factor Model Based on beta-Divergence for Recommender Systems 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 8, 页码: 4612-4623 作者:  Xin, Luo;  Yuan, Ye;  Zhou, MengChu;  Liu, Zhigang;  Shang, Mingsheng 收藏  |  浏览/下载：130/0  |  提交时间：2021/08/20 beta-divergence  big data  high-dimensional and sparse (HiDS) matrix  industrial application  learning algorithm  non-negative latent factor (NLF) analysis  recommender system
	A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model 期刊论文 NEUROCOMPUTING, 2021, 卷号: 427, 页码: 29-39 作者:  Li, Jinli;  Yuan, Ye;  Ruan, Tao;  Chen, Jia;  Luo, Xin 收藏  |  浏览/下载：95/0  |  提交时间：2021/03/17 Big data  Stochastic gradient descent  Proportional integral derivation  PID controller  High-dimensional and sparse matrix  Latent factor analysis
	Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems 期刊论文 NEUROCOMPUTING, 2021, 卷号: 421, 页码: 316-328 作者:  Chen, Jiufang;  Yuan, Ye;  Ruan, Tao;  Chen, Jia;  Luo, Xin 收藏  |  浏览/下载：74/0  |  提交时间：2021/02/24 Big Data  Intelligent Computation  Latent Factor Analysis  Evolutionary Computing  Learning Algorithm  High-dimensional and Sparse Data  Parameter Free
	randomizedlatentfactormodelforhighdimensionalandsparsematricesfromindustrialapplications 期刊论文 自动化学报英文版, 2019, 卷号: 000, 期号: 001, 页码: 131 作者:  Mingsheng Shang;  Xin Luo;  Zhigang Liu;  Jia Chen;  Ye Yuan;  MengChu Zhou 收藏  |  浏览/下载：109/0  |  提交时间：2019/12/03
	An adaptive latent factor model via particle swarm optimization for high-dimensional and sparse matrices 会议论文 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019, Bari, Italy, October 6, 2019 - October 9, 2019 作者:  Chen, Sili;  Yuan, Ye;  Wang, Jin 收藏  |  浏览/下载：147/0  |  提交时间：2020/02/18
	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：96/0  |  提交时间：2018/03/05
	Percentile performance analysis of infrastructure-as-a-service clouds with task retrials 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:  Zhu, Li;  Wang, Yuandou;  Zheng, Wanbo;  Wu, Lei;  Yuan, Ye;  Chen, Peng;  Xia, Yunni Adobe PDF(132Kb)  |  收藏  |  浏览/下载：97/0  |  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：111/0  |  提交时间：2018/03/16
	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