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Kernel reconstruction learning 期刊论文
NEUROCOMPUTING, 2023, 卷号: 522, 页码: 1-10
作者:  Wu, Yun;  Xiong, Shifeng
收藏  |  浏览/下载：102/0  |  提交时间：2023/02/07
Kernel method  Representer theorem  Interpolation  Classification  Density estimation  Sequential algorithm  
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：65/0  |  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：99/0  |  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：99/0  |  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：165/0  |  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：151/0  |  提交时间：2022/04/02
Electricity price  Forecasting  Hybrid model  Model selection  Kernel-based extreme learning machine  
Kernel Averaging Estimators 期刊论文
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2021, 页码: 13
作者:  Zhu, Rong;  Zhang, Xinyu;  Wan, Alan T. K.;  Zou, Guohua
收藏  |  浏览/下载：128/0  |  提交时间：2022/04/02
Asymptotic optimality  Cross-validation  Kernel estimation  Model average  Nonparametric regression  
A Minimax Probability Machine for Nondecomposable Performance Measures 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Luo, Junru;  Qiao, Hong;  Zhang, Bo
收藏  |  浏览/下载：139/0  |  提交时间：2022/04/02
Measurement  Task analysis  Covariance matrices  Support vector machines  Prediction algorithms  Minimization  Kernel  Imbalanced classification  minimax probability machine  nondecomposable performance measures  
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
作者:  Sun, Xiaowei;  Song, Xinyuan;  Sun, Liuquan
收藏  |  浏览/下载：127/0  |  提交时间：2021/10/26
Additive hazard regression  event history data  intermittently measured covariates  kernel weighted estimation  
A Parameterized Complexity View on Collapsing k-Cores 期刊论文
THEORY OF COMPUTING SYSTEMS, 2021, 页码: 40
作者:  Luo, Junjie;  Molter, Hendrik;  Suchy, Ondrej
收藏  |  浏览/下载：100/0  |  提交时间：2021/10/26
r-Degenerate vertex deletion  Feedback vertex set  Fixed-parameter tractability  Kernelization lower bounds  Graph algorithms  Social network analysis