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On construction of prediction intervals for heteroscedastic regression 期刊论文
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2022, 页码: 26
作者:  Wu, Yun;  Xiong, Shifeng
收藏  |  浏览/下载：67/0  |  提交时间：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
作者:  Lin, Xixun;  Li, Zhao;  Zhang, Peng;  Liu, Luchen;  Zhou, Chuan;  Wang, Bin;  Tian, Zhihong
收藏  |  浏览/下载：108/0  |  提交时间：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)  
RegScaf: a regression approach to scaffolding 期刊论文
BIOINFORMATICS, 2022, 页码: 8
作者:  Li, Mengtian;  Li, Lei M.
收藏  |  浏览/下载：100/0  |  提交时间：2022/06/21
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
作者:  Zhao, Erlong;  Du, Pei;  Azaglo, Ernest Young;  Wang, Shouyang;  Sun, Shaolong
收藏  |  浏览/下载：169/0  |  提交时间：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
作者:  Yang, Wendong;  Sun, Shaolong;  Hao, Yan;  Wang, Shouyang
收藏  |  浏览/下载：161/0  |  提交时间：2022/04/02
Electricity price  Forecasting  Hybrid model  Model selection  Kernel-based extreme learning machine