CSpace

Browse/Search Results:  1-10 of 22 Help

Selected(0)Clear Items/Page:    Sort:
Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2021, 卷号: 29, 期号: 5, 页码: 1365-1384
Authors:  Liao, Yulei;  Ming, Pingbing
Favorite  |  View/Download:7/0  |  Submit date:2021/06/01
Deep Nitsche Method  Deep Ritz Method  neural network approximation  mixed boundary conditions  curse of dimensionality  
Sample average approximation of CVaR-based hedging problem with a deep-learning solution 期刊论文
NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2021, 卷号: 56, 页码: 14
Authors:  Peng, Cheng;  Li, Shuang;  Zhao, Yanlong;  Bao, Ying
Favorite  |  View/Download:10/0  |  Submit date:2021/04/26
Conditional Value-at-Risk  Hedging strategies  Deep learning  Theoretical guarantee  Sample average approximation  Uniform convergence  
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators 期刊论文
NATURE MACHINE INTELLIGENCE, 2021, 卷号: 3, 期号: 3, 页码: 218-+
Authors:  Lu, Lu;  Jin, Pengzhan;  Pang, Guofei;  Zhang, Zhongqiang;  Karniadakis, George Em
Favorite  |  View/Download:30/0  |  Submit date:2021/06/01
An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 卷号: 18, 期号: 1, 页码: 355-364
Authors:  Jing, Fang;  Zhang, Shao-Wu;  Cao, Zhen;  Zhang, Shihua
Favorite  |  View/Download:12/0  |  Submit date:2021/04/26
Bioinformatics  machine learning  transcription factors binding sites  convolutional neural networks  DNA accessibility  histone modification  
Molecular Sparse Representation by a 3D Ellipsoid Radial Basis Function Neural Network via L1 Regularization 期刊论文
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2020, 卷号: 60, 期号: 12, 页码: 6054-6064
Authors:  Gui, Sheng;  Chen, Zhaodi;  Lu, Benzhuo;  Chen, Minxin
Favorite  |  View/Download:11/0  |  Submit date:2021/04/26
An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 28, 期号: 5, 页码: 2180-2205
Authors:  Yan, Liang;  Zhou, Tao
Favorite  |  View/Download:12/0  |  Submit date:2021/01/14
Bayesian inverse problems  deep neural networks  multi-fidelity surrogate modeling  Markov chain Monte Carlo  
Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness 期刊论文
NEURAL NETWORKS, 2020, 卷号: 130, 页码: 85-99
Authors:  Jin, Pengzhan;  Lu, Lu;  Tang, Yifa;  Karniadakis, George Em
Favorite  |  View/Download:9/0  |  Submit date:2021/01/14
Neural networks  Generalization error  Learnability  Data distribution  Cover complexity  Neural network smoothness  
A new ensemble deep learning approach for exchange rates forecasting and trading 期刊论文
ADVANCED ENGINEERING INFORMATICS, 2020, 卷号: 46, 页码: 10
Authors:  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie
Favorite  |  View/Download:7/0  |  Submit date:2021/04/26
Ensemble learning  Forecasting  Trading  Deep learning  LSTM  
Make l(1) regularization effective in training sparse CNN 期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2020, 卷号: 77, 期号: 1, 页码: 163-182
Authors:  He, Juncai;  Jia, Xiaodong;  Xu, Jinchao;  Zhang, Lian;  Zhao, Liang
Favorite  |  View/Download:20/0  |  Submit date:2020/09/23
Sparse optimization  l(1) regularization  Dual averaging  CNN  
Deep spatial-temporal structure learning for rumor detection on Twitter 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2020, 页码: 11
Authors:  Huang, Qi;  Zhou, Chuan;  Wu, Jia;  Liu, Luchen;  Wang, Bin
Favorite  |  View/Download:35/0  |  Submit date:2020/09/23
Rumor detection  Spatial-temporal structure learning