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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
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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
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Electricity price  Forecasting  Hybrid model  Model selection  Kernel-based extreme learning machine  
Hyper-positive definite functions I: Scalar case, branching-type stationary stochastic processes 期刊论文
JOURNAL OF FUNCTIONAL ANALYSIS, 2022, 卷号: 282, 期号: 1, 页码: 45
Authors:  Qiu, Yanqi;  Wang, Zipeng
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Hyper-positivity  Positive definite kernel  Herglotz-Bochner theorem  Hypercontractivity  
Kernel Averaging Estimators 期刊论文
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2021, 页码: 13
Authors:  Zhu, Rong;  Zhang, Xinyu;  Wan, Alan T. K.;  Zou, Guohua
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Asymptotic optimality  Cross-validation  Kernel estimation  Model average  Nonparametric regression  
Simpson's method for fractional differential equations with a non-singular kernel applied to a chaotic tumor model 期刊论文
PHYSICA SCRIPTA, 2021, 卷号: 96, 期号: 12, 页码: 19
Authors:  Arshad, Sadia;  Saleem, Iram;  Defterli, Ozlem;  Tang, Yifa;  Baleanu, Dumitru
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fractional operator with the non-singular kernel  numerical approximation  stability analysis  convergence analysis  tumor model  chaos  
Simpson’s method for fractional differential equations with a non-singular kernel applied to a chaotic tumor model 期刊论文
Physica Scripta, 2021, 卷号: 96, 期号: 12
Authors:  Arshad,Sadia;  Saleem,Iram;  Defterli,Ozlem;  Tang,Yifa;  Baleanu,Dumitru
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fractional operator with the non-singular kernel  numerical approximation  stability analysis  convergence analysis  tumor model  chaos  
A Minimax Probability Machine for Nondecomposable Performance Measures 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
Authors:  Luo, Junru;  Qiao, Hong;  Zhang, Bo
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Measurement  Task analysis  Covariance matrices  Support vector machines  Prediction algorithms  Minimization  Kernel  Imbalanced classification  minimax probability machine  nondecomposable performance measures  
On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime 期刊论文
BIOMETRICS, 2021, 页码: 13
Authors:  Chen, Xin;  Song, Rui;  Zhang, Jiajia;  Adams, Swann Arp;  Sun, Liuquan;  Lu, Wenbin
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individualized treatment regime  kernel estimation  optimal treatment initiation time  time-to-event data  value function  
Additive hazard regression of event history studies with intermittently measured covariates 期刊论文
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2021, 页码: 22
Authors:  Sun, Xiaowei;  Song, Xinyuan;  Sun, Liuquan
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Additive hazard regression  event history data  intermittently measured covariates  kernel weighted estimation  
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
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bagging  economic variables  ensemble deep learning  search intensity index  stacked autoencoder  tourism demand forecasting