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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：164/0  |  提交时间：2021/01/14
single-cell RNA sequencing  elastic embedding  neural networks  large-scale  stochastic optimization  parametric models  generalizable models  
A Novel Manifold Regularized Online Semi-supervised Learning Model 期刊论文
COGNITIVE COMPUTATION, 2018, 卷号: 10, 期号: 1, 页码: 49-61
作者:  Ding, Shuguang;  Xi, Xuanyang;  Liu, Zhiyong;  Qiao, Hong;  Zhang, Bo
收藏  |  浏览/下载：250/0  |  提交时间：2018/07/30
Human learning  Manifold regularization  Online semi-supervised learning  Lagrange dual problem  
Local community extraction in directed networks 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2016, 卷号: 452, 页码: 258-265
作者:  Ning, Xuemei;  Liu, Zhaoqi;  Zhang, Shihua
收藏  |  浏览/下载：132/0  |  提交时间：2018/07/30
Complex network  Community structure  Clustering  Optimization  
A new look at the Lagrange method for continuous-time stochastic optimization 期刊论文
SCIENCE CHINA-MATHEMATICS, 2012, 卷号: 55, 期号: 11, 页码: 2247-2258
作者:  Cheng Xue;  Yan JiaAn
收藏  |  浏览/下载：135/0  |  提交时间：2021/01/14
VARIANCE PORTFOLIO SELECTION  CONSTRAINTS  stochastic optimization  Lagrange method  extremal point  optional projection  Frechet derivative  subdifferential  
Risk analysis of commitment-option contracts with forecast updates 期刊论文
IIE TRANSACTIONS, 2011, 卷号: 43, 期号: 6, 页码: 415-431
作者:  Buzacott, John;  Yan, Houmin;  Zhang, Hanqin
收藏  |  浏览/下载：119/0  |  提交时间：2018/07/30
Mean-variance  commitment-option contract  forecast updates  stochastic order  
An analysis of staged purchases in deregulated time-sequential electricity markets 期刊论文
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2005, 卷号: 1, 期号: 4, 页码: 443-463
作者:  Sethi, Suresh P.;  Yan, Houmin;  Yan, J. Houzhong;  Zhang, Hanqin
收藏  |  浏览/下载：120/0  |  提交时间：2018/07/30
dynamic programming equation  optimal policy  monotonicity  martingale  algorithm