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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：106/0  |  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)  
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：143/0  |  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：129/0  |  提交时间：2021/10/26
Additive hazard regression  event history data  intermittently measured covariates  kernel weighted estimation  
Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID-19 期刊论文
BIOMETRICS, 2021, 页码: 10
作者:  Wang, Ruoyu;  Wang, Qihua
收藏  |  浏览/下载：164/0  |  提交时间：2021/04/26
incubation period  kernel estimation  maximum likelihood  optimal solution  probability constraint  statistical modeling  
A kernel non-negative matrix factorization framework for single cell clustering 期刊论文
APPLIED MATHEMATICAL MODELLING, 2021, 卷号: 90, 页码: 875-888
作者:  Jiang, Hao;  Yi, Ming;  Zhang, Shihua
收藏  |  浏览/下载：126/0  |  提交时间：2021/04/26
Single cell RNA-sequencing  Kernel non-negative matrix factorization  Cellular heterogeneity  
A non-marginal variable screening method for the varying coefficient Cox model 期刊论文
STATISTICS AND ITS INTERFACE, 2021, 卷号: 14, 期号: 2, 页码: 197-209
作者:  Qu, Lianqiang;  Sun, Liuquan
收藏  |  浏览/下载：162/0  |  提交时间：2021/04/26
Cox model  Kernel smoothing  Non-marginal screening  Ultrahigh-dimensionality  Varying coefficient  
Probe Efficient Feature Representation of Gapped K-mer Frequency Vectors from Sequences Using Deep Neural Networks 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 2, 页码: 657-667
作者:  Cao, Zhen;  Zhang, Shihua
收藏  |  浏览/下载：188/0  |  提交时间：2020/05/24
DNA  Bioinformatics  Kernel  Feature extraction  Support vector machines  Genomics  Task analysis  Bioinformatics  machine learning  gapped k-mer  deep neural network  transcription factor binding site prediction  
Conditional probability estimation based classification with class label missing at random 期刊论文
JOURNAL OF MULTIVARIATE ANALYSIS, 2020, 卷号: 176, 页码: 13
作者:  Sheng, Ying;  Wang, Qihua
收藏  |  浏览/下载：158/0  |  提交时间：2020/05/24
Binary classification  Conditional probability estimation  Missing at random  Reproducing kernel Hilbert space  
SUFFICIENT DIMENSION REDUCTION UNDER DIMENSION-REDUCTION-BASED IMPUTATION WITH PREDICTORS MISSING AT RANDOM 期刊论文
STATISTICA SINICA, 2019, 卷号: 29, 期号: 4, 页码: 1751-1778
作者:  Yang, Xiaojie;  Wang, Qihua
收藏  |  浏览/下载：261/0  |  提交时间：2020/01/10
Kernel imputation  missing at random  missing predictors  sliced inverse regression  sufficient dimension reduction  
Identification of local sparsity and variable selection for varying coefficient additive hazards models 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2018, 卷号: 125, 页码: 119-135
作者:  Qu, Lianqiang;  Song, Xinyuan;  Sun, Liuquan
收藏  |  浏览/下载：226/0  |  提交时间：2018/07/30
Additive hazards models  Group penalty  Kernel smoothing  Local sparsity  Oracle property  Varying coefficients