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Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects 期刊论文
CURRENT ISSUES IN TOURISM, 2022, 页码: 20
Authors:  Liu, Yunhao;  Feng, Gengzhong;  Chin, Kwai-Sang;  Sun, Shaolong;  Wang, Shouyang
Favorite  |  View/Download：12/0  |  Submit date：2022/06/21
Tourism demand forecasting  daily tourism demand  holiday effects  seasonal patterns  FB Prophet  
Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble 期刊论文
CURRENT ISSUES IN TOURISM, 2022, 页码: 20
Authors:  Zhao, Erlong;  Du, Pei;  Azaglo, Ernest Young;  Wang, Shouyang;  Sun, Shaolong
Favorite  |  View/Download：27/0  |  Submit date：2022/04/29
Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy  
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy 期刊论文
ENERGY, 2022, 卷号: 238, 页码: 14
Authors:  Yang, Wendong;  Sun, Shaolong;  Hao, Yan;  Wang, Shouyang
Favorite  |  View/Download：27/0  |  Submit date：2022/04/02
Electricity price  Forecasting  Hybrid model  Model selection  Kernel-based extreme learning machine  
Decomposition Methods for Tourism Demand Forecasting: A Comparative Study 期刊论文
JOURNAL OF TRAVEL RESEARCH, 2021, 页码: 18
Authors:  Zhang, Chengyuan;  Li, Mingchen;  Sun, Shaolong;  Tang, Ling;  Wang, Shouyang
Favorite  |  View/Download：25/0  |  Submit date：2022/04/02
tourism demand forecasting  decomposition methods  variational mode decomposition  decomposition and ensemble  machine learning  
Robust Bayesian matrix decomposition with mixture of Gaussian noise 期刊论文
NEUROCOMPUTING, 2021, 卷号: 449, 页码: 108-116
Authors:  Wang, Haohui;  Zhang, Chihao;  Zhang, Shihua
Favorite  |  View/Download：49/0  |  Submit date：2021/10/26
Bayesian method  Matrix decomposition  Maximum a posterior  Mixture of Gaussians  
Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 4, 页码: 1184-1196
Authors:  Zhang, Chihao;  Zhang, Shihua
Favorite  |  View/Download：76/0  |  Submit date：2021/04/26
Matrix decomposition  Bayes methods  Data integration  Inference algorithms  Data models  Data mining  Gaussian distribution  Bayesian methods  matrix decomposition  data integration  variational Bayesian inference  maximum a posterior  
Optimal design for kernel interpolation: Applications to uncertainty quantification 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2021, 卷号: 430, 页码: 19
Authors:  Narayan, Akil;  Yan, Liang;  Zhou, Tao
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Kernel interpolation  Fekete points  Cholesky decomposition with pivoting  Hermite interpolation  Uncertainty quantification  
Variational inequality transport model on the sphere by the active-set reduced-space algorithm 期刊论文
COMPUTER PHYSICS COMMUNICATIONS, 2021, 卷号: 260, 页码: 10
Authors:  Yang, Haijian;  Yang, Chao;  Huang, Jizu
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Transport problem on the sphere  Variational inequality  Parallel computing  Fully implicit scheme  Active-set reduced-space method  
A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
Authors:  Min, Wenwen;  Wan, Xiang;  Chang, Tsung-Hui;  Zhang, Shihua
Favorite  |  View/Download：35/0  |  Submit date：2022/04/02
Gene expression  Biology  Biological system modeling  Principal component analysis  Mathematical model  Data models  Big Data  Absolute-valued graph regularization  graph regularization  sparse learning  structured sparse singular value decomposition (SVD)  
Group-Sparse SVD Models via L-1- and L-0-norm Penalties and their Applications in Biological Data 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 2, 页码: 536-550
Authors:  Min, Wenwen;  Liu, Juan;  Zhang, Shihua
Favorite  |  View/Download：55/0  |  Submit date：2021/04/26
Sparse SVD  low-rank matrix decomposition  group-sparse penalty  overlapping group-sparse penalty  coordinate descent method  alternating direction method of multipliers (ADMM)  data mining