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Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者:
Fanghui Bi
;
Xin Luo
;
Bo Shen
;
Hongli Dong
;
Zidong Wang
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/05/29
Data science
high-dimensional and incomplete data
knowledge acquisition
industrial application
nonnegative latent factor analysis (NLFA)
proximal alternating direction method of multipliers
representation learning
A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1834-1844
作者:
Yanlu Gong
;
Junhai Zhou
;
Quanwang Wu
;
MengChu Zhou
;
Junhao Wen
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/08/10
Bi-objective optimization
feature selection (FS)
genetic algorithm
high-dimensional data
length-adaptive
A Scalable Frequentist Model Averaging Method
期刊论文
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2022, 页码: 10
作者:
Zhu, Rong
;
Wang, Haiying
;
Zhang, Xinyu
;
Liang, Hua
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  |  
浏览/下载:12/0
  |  
提交时间:2023/02/07
Asymptotic optimality
High-dimensional data
Jackknife criterion
Mallows criterion
Singular value decomposition
Learning Accurate and Stable Point-to-Point Motions: A Dynamic System Approach
期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 1510-1517
作者:
Zhang, Yu
;
Cheng, Long
;
Li, Houcheng
;
Cao, Ran
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  |  
浏览/下载:49/0
  |  
提交时间:2022/02/16
Point-to-point tasks
neural network
dynamic system
generalization performance
high dimensional data
Variable selection for partially varying coefficient model based on modal regression under high dimensional data
期刊论文
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2022, 卷号: 51, 期号: 1, 页码: 232-248
作者:
Xia, Yafeng
;
Zhang, Lirong
;
Zhang, Aiping
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  |  
浏览/下载:17/0
  |  
提交时间:2022/03/01
Partially varying coefficient model
high dimensional data
modal regression
variable selection
A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 533-546
作者:
Hao Wu
;
Xin Luo
;
MengChu Zhou
;
Muhyaddin J. Rawa
;
Khaled Sedraoui
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  |  
浏览/下载:59/0
  |  
提交时间:2022/03/09
Big data
high dimensional and incomplete (HDI) tensor
latent factorization-of-tensors (LFT)
machine learning
missing data
optimization
proportional-integral-derivative (PID) controller
Fault diagnosis of rotor based on Semi-supervised Multi-Graph Joint Embedding
期刊论文
ISA Transactions, 2022
作者:
Yuan, Jianhui
;
Zhao, Rongzhen
;
He, Tianjing
;
Chen, Pengfei
;
Wei, Kongyuan
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  |  
浏览/下载:20/0
  |  
提交时间:2022/07/20
Clustering algorithms
Data reduction
Failure analysis
Fault detection
Graph theory
Supervised learning
Dimensionality reduction
Embeddings
Fault data
Faults diagnosis
High-dimensional
Hyper graph
Hypergraph structure
Rotor systems
Sample point
Semi-supervised
Deep Neural Fuzzy System Oriented toward High-Dimensional Data and Interpretable Artificial Intelligence
期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 16, 页码: 19
作者:
Chen, Dewang
;
Cai, Jijie
;
Huang, Yunhu
;
Lv, Yisheng
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  |  
浏览/下载:29/0
  |  
提交时间:2021/11/03
interpretability
high-dimensional data
adaptive neuro-fuzzy inference system
deep neural fuzzy system
Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 4, 页码: 1737-1749
作者:
Liu, Zhigang
;
Luo, Xin
;
Wang, Zidong
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  |  
浏览/下载:120/0
  |  
提交时间:2021/05/17
Manganese
Convergence
Computational modeling
Learning systems
Analytical models
Sparse matrices
Big Data
Big data
convergence
high-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
learning system
neural networks
nonnegative LF (NLF) analysis
single LF-dependent nonnegative and multiplicative update (SLF-NMU)
Fault feature extraction of rolling bearing integrating KPCA and t-SNE
期刊论文
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2021, 卷号: 34, 期号: 2, 页码: 431-440
作者:
Wang, Wang-Wang
;
Deng, Lin-Feng
;
Zhao, Rong-Zhen
;
Wu, Yao-Chun
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2022/02/17
Clustering algorithms
Data mining
Extraction
Feature extraction
Frequency domain analysis
Nearest neighbor search
Stochastic systems
Time domain analysis
Fault feature extractions
Feature extraction methods
Global and local structures
High dimensional feature
K-nearest neighbor classifier
Kernel principal component analyses (KPCA)
Rolling bearing vibration
Stochastic neighbor embedding
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