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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
	Prediction of the transcription factor binding sites with meta-learning 期刊论文 METHODS, 2022, 卷号: 203, 页码: 207-213 作者: Jing, Fang; Zhang, Shao-Wu; Zhang, Shihua 收藏 \| 浏览/下载：11/0 \| 提交时间：2023/02/07 Convolution neural network Transcription factor binding sites Meta learning Noisy labels data
	Egr2 contributes to age-dependent vulnerability to sevoflurane-induced cognitive deficits in mice 期刊论文 ACTA PHARMACOLOGICA SINICA, 2022 作者: Chen, Ye-ru; Zhang, Shu-xia; Fang, Man; Zhang, Piao; Zhou, You-fa 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/12/23 sevoflurane learning ability impairment hippocampus early growth response 2 brain-derived neurotrophic factor dendritic spins nuclear factors of activated T-cell
	An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 1, 页码: 77-86 作者: Wang, Ding 收藏 \| 浏览/下载：29/0 \| 提交时间：2022/03/17 Control design Cost function Optimal control Nonlinear systems Adaptive systems Switches Adaptive learning system discount factor guaranteed cost function neuro-optimal control uncertainty
	Identifying clinical risk factors correlate with suicide attempts in patients with first episode major depressive disorder 期刊论文 JOURNAL OF AFFECTIVE DISORDERS, 2021, 卷号: 295, 页码: 264-270 作者: Li, Xiao-Yan; Tabarak, Serik; Su, Xiu-Ru; Qin, Zengchang; Chai, Yuan 收藏 \| 浏览/下载：47/0 \| 提交时间：2022/02/11 Major depressive disorder Suicide attempt Risk factor Machine learning XG-boost
	Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4151-4165 作者: Hu, Xuecai; Zhang, Zhang; Shan, Caifeng; Wang, Zilei; Wang, Liang 收藏 \| 浏览/下载：104/0 \| 提交时间：2021/11/03 Degradation Kernel Noise level Convolution Spatial resolution Imaging Arbitrary degradation blur kernel deep learning meta-learning scale factor super-resolution
	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：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)
	Untangling global levelised cost of electricity based on multi-factor learning curve for renewable energy: Wind, solar, geothermal, hydropower and bioenergy 期刊论文 Journal of Cleaner Production, 2021, 卷号: 285, 页码: 124827 作者: Yao Y(姚悦); Xu JH(许金华); Sun DQ(孙德强) 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/03/01 Renewable energy Multi-factor learning curve (MFLC) Levelized cost of electricity (LCOE) Capacity factor
	Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者: Luo, Xin; Qin, Wen; Dong, Ani; Sedraoui, Khaled; Zhou, MengChu 收藏 \| 浏览/下载：23/0 \| 提交时间：2021/03/17 Big data industrial application industrial data latent factor analysis machine learning parallel algorithm recommender system (RS) stochastic gradient descent (SGD)
	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：15/0 \| 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

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