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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：7/0 \| 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：9/0 \| 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 收藏 \| 浏览/下载：11/0 \| 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 收藏 \| 浏览/下载：42/0 \| 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 收藏 \| 浏览/下载：12/0 \| 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 收藏 \| 浏览/下载：56/0 \| 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 收藏 \| 浏览/下载：15/0 \| 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 收藏 \| 浏览/下载：25/0 \| 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 收藏 \| 浏览/下载：118/0 \| 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：67/0 \| 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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