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	资助项目：Natural Science Foundation of Chongqing (China)[cstc2019jcyjjqX0013]

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 Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 12, 页码: 9756-9773 作者:  Luo, Xin;  Wu, Hao;  Wang, Zhi;  Wang, Jianjun;  Meng, Deyu 收藏  |  浏览/下载：67/0  |  提交时间：2022/12/26 Tensors  Computational modeling  Numerical models  Data models  Convergence  Analytical models  Adaptation models  Dynamically weighted directed network  terminal interaction pattern analysis system  latent factorization of tensors  high dimensional and incomplete tensor  link prediction  representation learning  latent feature
	Advancing Non-Negative Latent Factorization of Tensors With Diversified Regularization Schemes 期刊论文 IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 3, 页码: 1334-1344 作者:  Wu, Hao;  Luo, Xin;  Zhou, Mengchu 收藏  |  浏览/下载：63/0  |  提交时间：2022/08/22 High-dimensional and sparse tensor  missing data  latent factor analysis  temporal pattern  non-negativity  non-negative latent factorization of tensor  regularization  ensemble  services computing
	Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data 期刊论文 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 卷号: 18, 期号: 4, 页码: 2142-2155 作者:  Luo, Xin;  Chen, Minzhi;  Wu, Hao;  Liu, Zhigang;  Yuan, Huaqiang;  Zhou, Mengchu 收藏  |  浏览/下载：82/0  |  提交时间：2021/11/26 Tensors  Data models  Quality of service  Computational modeling  Analytical models  Training  Web services  Algorithm  big data  dynamics  high-dimensional and incomplete (HDI) data  machine learning  missing data estimation  multichannel data  nonnegative latent factorization of tensors (NLFT)  temporal pattern  quality of service (QoS)  web service
	Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者:  Wang, Zhi;  Liu, Yu;  Luo, Xin;  Wang, Jianjun;  Gao, Chao;  Peng, Dezhong;  Chen, Wu 收藏  |  浏览/下载：50/0  |  提交时间：2022/08/22 Minimization  Convergence  Tensors  Optimization  Analytical models  Data models  Data analysis  Inexact proximal step  low-rank minimization  matrix completion  novel nonconvex regularizer  robust principal component analysis (RPCA)  tensor completion