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浏览/检索结果: 共41条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名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作者升序作者降序 Uncovering hidden nodes and hidden links in complex dynamic networks 期刊论文  OAI收割 SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2024, 卷号: 67, 期号: 4, 页码: 13 作者:  Zhang, Zhaoyang;  Wang, Xinyu;  Li, Haihong;  Chen, Yang;  Qu, Zhilin   |  收藏  |  浏览/下载：18/0  |  提交时间：2024/07/03 networks and genealogical trees  stochastic analysis methods  time series analysis   A Flux Reconstruction Stochastic Galerkin Scheme for Hyperbolic Conservation Laws 期刊论文  OAI收割 JOURNAL OF SCIENTIFIC COMPUTING, 2023, 卷号: 95, 期号: 1, 页码: 18 作者:  Xiao TB(肖天白);  Kusch, Jonas;  Koellermeier, Julian;  Frank, Martin   |  收藏  |  浏览/下载：68/0  |  提交时间：2023/04/20 Computational fluid dynamics  High order methods  Flux reconstruction  Uncertainty quantification  Stochastic Galerkin   An Efficient Sampling-Based Attention Network for Semantic Segmentation 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2850-2863 作者:  He, Xingjian;  Liu, Jing;  Wang, Weining;  Lu, Hanqing   |  收藏  |  浏览/下载：53/0  |  提交时间：2022/06/10 Stochastic processes  Sampling methods  Semantics  Image segmentation  Computational complexity  Pattern recognition  Convolution  Semantic segmentation  stochastic sampling-based attention  deterministic sampling-based attention   A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai-Borwein Stepsizes 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4627-4638 作者:  Yu, Tengteng;  Liu, Xin-Wei;  Dai, Yu-Hong;  Sun, Jie   |  收藏  |  浏览/下载：24/0  |  提交时间：2022/04/02 Convergence  Convex functions  Risk management  Gradient methods  Learning systems  Sun  Barzilai-Borwein (BB) method  empirical risk minimization (ERM)  proximal method  stochastic gradient  trust-region   STOCHASTIC TRUST-REGION METHODS WITH TRUST-REGION RADIUS DEPENDING ON PROBABILISTIC MODELS 期刊论文  OAI收割 JOURNAL OF COMPUTATIONAL MATHEMATICS, 2021, 页码: 41 作者:  Wang, Xiaoyu;  Yuan, Ya-xiang   |  收藏  |  浏览/下载：24/0  |  提交时间：2022/04/02 Trust-region methods  Stochastic optimization  Probabilistic models  Trust region radius  Global convergence   Positivity-preserving symplectic methods for the stochastic Lotka-Volterra predator-prey model 期刊论文  OAI收割 BIT NUMERICAL MATHEMATICS, 2021, 页码: 28 作者:  Hong, Jialin;  Ji, Lihai;  Wang, Xu;  Zhang, Jingjing   |  收藏  |  浏览/下载：26/0  |  提交时间：2022/04/02 Stochastic Lotka-Volterra predator-prey model  Positivity  Stochastic symplecticity  Structure-preserving methods  Convergence order conditions   Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：54/0  |  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   A Novel Synchronization Protocol for Nonlinear Stochastic Dynamical Networked Systems 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 5, 页码: 2676-2686 作者:  Gu, Haibo;  Wang, Xiong;  Liu, Kexin;  Lu, Jinhu   |  收藏  |  浏览/下载：41/0  |  提交时间：2021/06/01 Synchronization  Protocols  Stochastic processes  Artificial neural networks  Adaptive systems  Perturbation methods  Complex dynamical network  Lyapunov function  networked system  stochastic perturbation  synchronization   ASYMPTOTICALLY-PRESERVING LARGE DEVIATIONS PRINCIPLES BY STOCHASTIC SYMPLECTIC METHODS FOR A LINEAR STOCHASTIC OSCILLATOR 期刊论文  OAI收割 SIAM JOURNAL ON NUMERICAL ANALYSIS, 2021, 卷号: 59, 期号: 1, 页码: 32-59 作者:  Chen, Chuchu;  Hong, Jialing;  Jin, Diancong;  Sun, Liying   |  收藏  |  浏览/下载：21/0  |  提交时间：2021/04/26 stochastic symplectic methods  superiority  large deviations principle  rate function  asymptotical preservation   Highly Accurate Numerical Schemes for Stochastic Optimal Control Via FBSDEs 期刊论文  OAI收割 NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, 2020, 卷号: 13, 期号: 2, 页码: 296-319 作者:  Fu, Yu;  Zhao, Weidong;  Zhou, Tao   |  收藏  |  浏览/下载：58/0  |  提交时间：2020/05/24 Forward backward stochastic differential equations  stochastic optimal control  stochastic maximum principle  projected quasi-Newton methods