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浏览/检索结果: 共533条，第1-10条

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	Modeling the long-term transport and fate of oil spilled from the 2021 A Symphony tanker collision in the Yellow Sea, China: Reliability of the stochastic simulation 期刊论文 OCEAN MODELLING, 2023, 卷号: 186, 页码: 14 作者: Cao, Ruichen; Rong, Zengrui; Chen, Haibo; Liu, Yi; Mu, Lin 收藏 \| 浏览/下载：18/0 \| 提交时间：2024/04/07 A Symphony oil spill Pollution probability Stochastic simulation Uncertainty analysis
	A novel short-term load forecasting method based on mini-batch stochastic gradient descent regression model 期刊论文 Electric Power Systems Research, 2022, 卷号: 211 作者: Lizhen, Wu; Yifan, Zhao; Gang, Wang; Xiaohong, Hao 收藏 \| 浏览/下载：20/0 \| 提交时间：2022/07/20 Batch data processing Big data Electric power plant loads Forecasting Gradient methods K-means clustering Regression analysis Stochastic models Big data analyze Distributed parallel computing Load forecasting Map-reduce Map-reduce framework Mini-batch stochastic gradient descent Regression modelling Short term load forecasting Stochastic gradient descent Stochastic gradient descent algorithm
	Marginal and joint failure importance for K-terminal network edges under counting process 期刊论文 Reliability Engineering and System Safety, 2022, 卷号: 223 作者: Ma, Chengye; Du, Yongjun; Zhang, Yuchun; Cai, Zhiqiang 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/04/21 Failure (mechanical) Numerical methods Poisson distribution Random processes Reliability analysis Risk assessment Roads and streets Stochastic systems Counting process Edge failures Importance measure Joint failure Joint failure importance K terminals K-terminal network Marginal failure importance Network failure Non-homogeneous Poisson process
	Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15 作者: Lin, Xixun; Li, Zhao; Zhang, Peng; Liu, Luchen; Zhou, Chuan 收藏 \| 浏览/下载：14/0 \| 提交时间：2023/02/07 Task analysis Kernel Training Decoding Stochastic processes Predictive models Computational modeling Few-shot learning graph classification graph neural networks (GNNs) neural process (NP)
	Distributionally Robust Optimal Dispatch Method Considering Mining of Wind Power Statistical Characteristics 期刊论文 Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2022, 卷号: 46, 期号: 2, 页码: 33-42 作者: Xu, Chaoran; Xu, Xiaoyuan; Yan, Zheng; Li, Hengjie 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/04/21 Affine transforms Electric load dispatching Linear programming Principal component analysis Probability distributions Stochastic systems Ambiguity set Data driven Distributionally robust optimization Economical dispatch Power output Probability: distributions Robust optimization Robust optimization method Uncertainty Wind power output
	Convergence of a Distributed Least Squares 期刊论文 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 卷号: 66, 期号: 10, 页码: 4952-4959 作者: Xie, Siyu; Zhang, Yaqi; Guo, Lei 收藏 \| 浏览/下载：6/0 \| 提交时间：2022/04/02 Convergence Estimation Symmetric matrices Stochastic processes Task analysis Complexity theory Adaptive control Convergence cooperative excitation diffusion strategies distributed estimation least squares (LS) martingale theory regret
	Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 1702-1712 作者: Cheng, Daning; Li, Shigang; Zhang, Hanping; Xia, Fen; Zhang, Yunquan 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/12/01 Training Scalability Machine learning Machine learning algorithms Stochastic processes Task analysis Upper bound Parallel training algorithms training dataset scalability stochastic optimization methods
	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
	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：22/0 \| 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
	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：20/0 \| 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)

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