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Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 12
Authors:  Sun, Shaolong;  Li, Mingchen;  Wang, Shouyang;  Zhang, Chengyuan
Favorite  |  View/Download:64/0  |  Submit date:2023/02/07
Tourism demand  Multi -step ahead forecasting  Privileged information  Machine learning  Kernel random vector functional link network  
Exploring Statistical Arbitrage Opportunities Using Machine Learning Strategy 期刊论文
COMPUTATIONAL ECONOMICS, 2021, 页码: 22
Authors:  Zhan, Baoqiang;  Zhang, Shu;  Du, Helen S.;  Yang, Xiaoguang
Favorite  |  View/Download:117/0  |  Submit date:2022/04/02
Statistical arbitrage  Cointegration  Machine learning  Opportunities exploration  
Tourism demand forecasting: An ensemble deep learning approach 期刊论文
TOURISM ECONOMICS, 2021, 页码: 29
Authors:  Sun, Shaolong;  Li, Yanzhao;  Guo, Ju-e;  Wang, Shouyang
Favorite  |  View/Download:117/0  |  Submit date:2021/10/26
bagging  economic variables  ensemble deep learning  search intensity index  stacked autoencoder  tourism demand forecasting  
Analysis of multivariate longitudinal data using dynamic lasso-regularized copula models with application to large pediatric cardiovascular studies 期刊论文
JOURNAL OF APPLIED STATISTICS, 2021, 页码: 28
Authors:  Zhang, Wei;  Wu, Colin O.;  Ma, Xiaoyang;  Tian, Xin;  Li, Qizhai
Favorite  |  View/Download:122/0  |  Submit date:2021/10/26
Dynamic copula model  functional parameter  lasso-regularized spline estimator  multivariate longitudinal data  statistical machine learning  time-varying covariate  
Assessing Potentiality of Support Vector Machine Method in Crude Oil Price Forecasting 期刊论文
EURASIA JOURNAL OF MATHEMATICS SCIENCE AND TECHNOLOGY EDUCATION, 2017, 卷号: 13, 期号: 12, 页码: 7893-7904
Authors:  Yu, Lean;  Zhang, Xun;  Wang, Shouyang
Favorite  |  View/Download:187/0  |  Submit date:2018/07/30
support vector machines  artificial neural networks  ARIMA model  ARFIMA model  Markov-switching ARFIMA model  
Robust Novelty Detection via Worst Case CVaR Minimization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 9, 页码: 2098-2110
Authors:  Wang, Yongqiao;  Dang, Chuangyin;  Wang, Shouyang
Favorite  |  View/Download:116/0  |  Submit date:2018/07/30
Conditional value-at-risk (CVaR)  kernel methods  novelty detection  robust programming  single-class support vector machine (SSVM)  
variableselectioninidentificationofahighdimensionalnonlinearnonparametricsystem 期刊论文
controltheoryandtechnology, 2015, 卷号: 013, 期号: 001, 页码: 1
Authors:  Bai Erwei;  Zhao Wenxiao;  Zheng Weixing
Favorite  |  View/Download:99/0  |  Submit date:2020/01/10
Variable selection in identification of a high dimensional nonlinear non-parametric system 期刊论文
控制理论与技术:英文版, 2015, 卷号: 13.0, 期号: 1.0, 页码: 1-16
Authors:  Bai Erwei;  Zhao Wenxiao;  Zheng Weixing
Favorite  |  View/Download:89/0  |  Submit date:2021/01/14
参数系统  模式识别  变量选择  非线性  高维  数据挖掘  机器学习  统计回归  
Marginal Likelihood Integrals for Mixtures of Independence Models 期刊论文
JOURNAL OF MACHINE LEARNING RESEARCH, 2009, 卷号: 10, 页码: 1611-1631
Authors:  Lin, Shaowei;  Sturmfels, Bernd;  Xu, Zhiqiang
Favorite  |  View/Download:103/0  |  Submit date:2018/07/30
marginal likelihood  exact integration  mixture of independence model  computational algebra  
Evolving Least Squares Support Vector Machines for Stock Market Trend Mining 期刊论文
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2009, 卷号: 13, 期号: 1, 页码: 87-102
Authors:  Yu, Lean;  Chen, Huanhuan;  Wang, Shouyang;  Lai, Kin Keung
Favorite  |  View/Download:100/0  |  Submit date:2018/07/30
Artificial neural networks (ANNs)  evolutionary algorithms (EAs)  feature selection  genetic algorithm (GA)  least squares support vector machine (LSSVM)  mixed kernel  parameter optimization  statistical models  stock market trend mining