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Stochastic Lag Time Parameterization for Markov State Models of Protein Dynamics 期刊论文
JOURNAL OF PHYSICAL CHEMISTRY B, 2022, 页码: 11
作者:  Gong, Shiqi;  He, Xinheng;  Meng, Qi;  Ma, Zhiming;  Shao, Bin;  Wang, Tong;  Liu, Tie-Yan
收藏  |  浏览/下载：62/0  |  提交时间：2023/02/07
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;  Wang, Bin;  Tian, Zhihong
收藏  |  浏览/下载：99/0  |  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)  
Weak Universality of the Dynamical Phi(4)(3) Model on the Whole Space 期刊论文
POTENTIAL ANALYSIS, 2021, 页码: 36
作者:  Zhu, Rongchan;  Zhu, Xiangchan
收藏  |  浏览/下载：114/0  |  提交时间：2022/04/02
Phi(4)(3) model  Paracontrolled distributions  Weak universality  Space-time white noise  Renormalisation  
NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data 期刊论文
FRONTIERS IN GENETICS, 2020, 卷号: 11, 页码: 8
作者:  Xiong, Jiankang;  Gong, Fuzhou;  Wan, Lin;  Ma, Liang
收藏  |  浏览/下载：165/0  |  提交时间：2021/01/14
single-cell RNA sequencing  elastic embedding  neural networks  large-scale  stochastic optimization  parametric models  generalizable models  
Dirichlet forms and polymer models based on stable processes 期刊论文
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2020, 卷号: 130, 期号: 10, 页码: 5940-5972
作者:  Li, Liping;  Li, Xiaodan
收藏  |  浏览/下载：197/0  |  提交时间：2020/10/12
Dirichlet forms  Polymer models  Self-adjoint extensions  Stable processes  
Continuous time hidden Markov model for longitudinal data 期刊论文
JOURNAL OF MULTIVARIATE ANALYSIS, 2020, 卷号: 179, 页码: 16
作者:  Zhou, Jie;  Song, Xinyuan;  Sun, Liuquan
收藏  |  浏览/下载：198/0  |  提交时间：2020/09/23
Continuous-time HMMs  Longitudinal data  ML estimator  Unknown number of hidden states  SCAD penalty  
Energy conditional measures and 2D turbulence 期刊论文
JOURNAL OF MATHEMATICAL PHYSICS, 2020, 卷号: 61, 期号: 1, 页码: 22
作者:  Flandoli, Franco;  Luo, Dejun
收藏  |  浏览/下载：155/0  |  提交时间：2020/05/24
OptQuant: Distributed training of neural networks with optimized quantization mechanisms 期刊论文
NEUROCOMPUTING, 2019, 卷号: 340, 页码: 233-244
作者:  He, Li;  Zheng, Shuxin;  Chen, Wei;  Ma, Zhi-Ming;  Liu, Tie-Yan
收藏  |  浏览/下载：231/0  |  提交时间：2019/12/13
Distributed machine learning  Deep learning  Stochastic gradient descent  Gradient quantization  
Generalized endpoint-inflated binomial model 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2015, 卷号: 89, 页码: 97-114
作者:  Tian, Guo-Liang;  Ma, Huijuan;  Zhou, Yong;  Deng, Dianliang
收藏  |  浏览/下载：123/0  |  提交时间：2018/07/30
Endpoint-inflated binomial distribution  Expectation-maximization algorithm  Multinomial logistic regression model  Stochastic representation  Zero-inflated binomial distribution  
Average Cost Optimality in Inventory Models With Dynamic Information Delays 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2011, 卷号: 56, 期号: 12, 页码: 2863-2876
作者:  Bensoussan, Alain;  Cakanyildirim, Metin;  Sethi, Suresh P.;  Wang, Mingzheng;  Zhang, Hanqin
收藏  |  浏览/下载：131/0  |  提交时间：2018/07/30
Average cost optimality  base stock policies  dynamic information delays  partial observations  stochastic inventory