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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 213, 页码: 9
Authors:
Sun, Shaolong
;
Hu, Mengyuan
;
Wang, Shouyang
;
Zhang, Chengyuan
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View/Download:72/0
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Submit date:2023/02/07
Tourism demand forecasting
Search engine data
Two -stage feature selection
Genetic algorithm
Kernel extreme learning machine
Kernel reconstruction learning
期刊论文
NEUROCOMPUTING, 2023, 卷号: 522, 页码: 1-10
Authors:
Wu, Yun
;
Xiong, Shifeng
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View/Download:57/0
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Submit date:2023/02/07
Kernel method
Representer theorem
Interpolation
Classification
Density estimation
Sequential algorithm
Truncations of Random Unitary Matrices Drawn from Hua-Pickrell Distribution
期刊论文
COMPLEX ANALYSIS AND OPERATOR THEORY, 2023, 卷号: 17, 期号: 1, 页码: 24
Authors:
Lin, Zhaofeng
;
Qiu, Yanqi
;
Wang, Kai
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Submit date:2023/02/07
Determinantal point process
Hua-Pickrell measure
Truncated unitary matrix
Limiting point process
Weighted Bergman kernel
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
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View/Download:34/0
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Submit date:2023/02/07
Tourism demand
Multi -step ahead forecasting
Privileged information
Machine learning
Kernel random vector functional link network
Gaussian limit for determinantal point processes with J-Hermitian kernels
期刊论文
SCIENCE CHINA-MATHEMATICS, 2022, 页码: 16
Authors:
Lin, Zhaofeng
;
Qiu, Yanqi
;
Wang, Kai
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View/Download:32/0
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Submit date:2023/02/07
determinantal point process
J-Hermitian kernel
linear statistics
central limit theorem
translation-invariant kernel
DRVN (deep random vortex network): A new physics-informed machine learning method for simulating and inferring incompressible fluid flows
期刊论文
PHYSICS OF FLUIDS, 2022, 卷号: 34, 期号: 10, 页码: 21
Authors:
Zhang, Rui
;
Hu, Peiyan
;
Meng, Qi
;
Wang, Yue
;
Zhu, Rongchan
;
Chen, Bingguang
;
Ma, Zhi-Ming
;
Liu, Tie-Yan
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Submit date:2023/02/07
Variable screening for varying coefficient models with ultrahigh-dimensional survival data
期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2022, 卷号: 172, 页码: 12
Authors:
Qu, Lianqiang
;
Wang, Xiaoyu
;
Sun, Liuquan
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Submit date:2023/02/07
Kernel smoothing
Survival data
Ultrahigh dimensionality
Variable screening
Varying coefficient
Augmented weighting estimators for the additive rates model under multivariate recurrent event data with missing event type
期刊论文
STATISTICS IN MEDICINE, 2022, 页码: 14
Authors:
Ma, Huijuan
;
Pang, Weicai
;
Sun, Liuquan
;
Xu, Wei
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View/Download:33/0
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Submit date:2023/02/07
additive rates model
missing at random
multivariate recurrent event data
Nadaraya-Watson kernel estimator
weighted estimating equation
On construction of prediction intervals for heteroscedastic regression
期刊论文
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2022, 页码: 26
Authors:
Wu, Yun
;
Xiong, Shifeng
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Submit date:2023/02/07
Interpolation
Kernel method
Large data
Reconstruction parameterization
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
Authors:
Lin, Xixun
;
Li, Zhao
;
Zhang, Peng
;
Liu, Luchen
;
Zhou, Chuan
;
Wang, Bin
;
Tian, Zhihong
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View/Download:55/0
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Submit date:2023/02/07
Task analysis
Kernel
Training
Decoding
Stochastic processes
Predictive models
Computational modeling
Few-shot learning
graph classification
graph neural networks (GNNs)
neural process (NP)