Probabilistic Nonparametric Model: Gaussian Process Regression

被引：0
|
作者：
不详
机构：
来源：
IEEE CONTROL SYSTEMS MAGAZINE | 2023年 / 43卷 / 05期
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
引用
收藏
页码：162 / 163
页数：2
相关论文
共 50 条
  • [1] Using a Gaussian Process as a Nonparametric Regression Model
    Gattiker, J. R.
    Hamada, M. S.
    Higdon, D. M.
    Schonlau, M.
    Welch, W. J.
    [J]. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2016, 32 (02) : 673 - 680
  • [2] A Prior Near-Ignorance Gaussian Process Model for Nonparametric Regression
    Mangili, Francesca
    [J]. PROCEEDINGS OF THE 9TH INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITY: THEORIES AND APPLICATIONS (ISIPTA '15), 2015, : 187 - 196
  • [3] A prior near-ignorance Gaussian process model for nonparametric regression
    Mangili, Francesca
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2016, 78 : 153 - 171
  • [4] NONPARAMETRIC RANDOM EFFECTS FUNCTIONAL REGRESSION MODEL USING GAUSSIAN PROCESS PRIORS
    Wang, Zhanfeng
    Ding, Hao
    Chen, Zimu
    Shi, Jian Qing
    [J]. STATISTICA SINICA, 2021, 31 (01) : 53 - 78
  • [5] Probabilistic detection of impacts using the PFEEL algorithm with a Gaussian Process Regression Model
    MejiaCruz, Yohanna
    Caicedo, Juan M.
    Jiang, Zhaoshuo
    Franco, Jean M.
    [J]. ENGINEERING STRUCTURES, 2023, 291
  • [6] Gaussian process methods for nonparametric functional regression with mixed predictors
    Wang, Bo
    Xu, Aiping
    [J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2019, 131 : 80 - 90
  • [7] Learning Stable Nonparametric Dynamical Systems with Gaussian Process Regression
    Xiao, Wenxin
    Lederer, Armin
    Hirche, Sandra
    [J]. IFAC PAPERSONLINE, 2020, 53 (02): : 1194 - 1199
  • [8] Posterior consistency of Gaussian process prior for nonparametric binary regression
    Ghosal, Subhashis
    Roy, Anindya
    [J]. ANNALS OF STATISTICS, 2006, 34 (05): : 2413 - 2429
  • [9] Nonparametric Regression via Variance-Adjusted Gradient Boosting Gaussian Process Regression
    Lu, Hsin-Min
    Chen, Jih-Shin
    Liao, Wei-Chun
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 33 (06) : 2669 - 2679
  • [10] Model Selection for Gaussian Process Regression
    Gorbach, Nico S.
    Bian, Andrew An
    Fischer, Benjamin
    Bauer, Stefan
    Buhmann, Joachim M.
    [J]. PATTERN RECOGNITION (GCPR 2017), 2017, 10496 : 306 - 318
12345