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  1. 1
    Kernel regression on matrix patterns
    by Povilas Daniušis, Pranas Vaitkus
    Published 2008-12-01
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    Article
  2. 2
    Large-scale operator-valued kernel regression
    by Brault, Romain
    Published 2017
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  3. 3
    Randomized Algorithms for Preconditioner Selection with Applications to Kernel Regression
    by DiPaolo, Conner
    Published 2019
    “... preconditioning method for kernel regression which never uses more iterations over the non-preconditioned analog...”
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  4. 4
    Data-driven computing in elasticity via kernel regression
    by Yoshihiro Kanno
    Published 2018-12-01
    “... in elasticity. We apply the kernel regression to the material data set, and formulate a system of nonlinear...”
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    Article
  5. 5
    Outlier Detection Based on Local Kernel Regression for Instance Selection
    by Qinmu Peng, Yiu-ming Cheung
    Published 2014-08-01
    Subjects: “...Local Kernel Regression...”
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    Article
  6. 6
    Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models
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    Article
  7. 7
    A Residual-Based Kernel Regression Method for Image Denoising
    by Jiefei Wang, Yupeng Chen, Tao Li, Jian Lu, Lixin Shen
    Published 2016-01-01
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    Article
  8. 8
    An approach for constructing parsimonious generalized Gaussian kernel regression models
    by Wang, X.X, Chen, S., Brown, D.J
    Published 2004
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    Article
  9. 9
    Nonparametric Kernel Regression Estimation inDeterminants of Religious Giving
    by Ya-Ting Lien, 連雅亭
    Published 2016
    “... in this study, we introduced the non-parametric kernel regression method to estimate the 2013~2014 religious...”
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  10. 10
    A Suboptimal Approach to Antenna Design Problems With Kernel Regression
    Subjects: “...Kernel regression...”
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    Article
  11. 11
    Adaptive Image Enhancement Algorithm Combining Kernel Regression and Local Homogeneity
    by Yu-Qian Yang, Jiang-She Zhang, Xing-Fang Huang
    Published 2010-01-01
    “... visual perception theory. It combines kernel regression and local homogeneity and evaluates...”
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    Article
  12. 12
    Kernel Regression Residual Decomposition Method to Detect Rolling Element Bearing Faults
    “... to detect faults in mechanical systems. Kernel regression (KR) is a well-known nonparametric mathematical...”
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    Article
  13. 13
    An Upper Bound of the Bias of Nadaraya–Watson Kernel Regression under Lipschitz Assumptions
    by Samuele Tosatto, Riad Akrour, Jan Peters
    Published 2021-12-01
    Subjects: “...Nadaraya-Watson kernel regression...”
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    Article
  14. 14
    Sub-Graph Regularization on Kernel Regression for Robust Semi-Supervised Dimensionality Reduction
    by Jiao Liu, Mingbo Zhao, Weijian Kong
    Published 2019-11-01
    Subjects: “...kernel regression...”
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    Article
  15. 15
    Data Mining with Multivariate Kernel Regression Using Information Complexity and the Genetic Algorithm
    by Beal, Dennis Jack
    Published 2009
    “... optimizer to choose the optimal bandwidth and the best predictors in kernel regression models. Simulated...”
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  16. 16
    Improved Small Molecule Identification through Learning Combinations of Kernel Regression Models
    “...In small molecule identification from tandem mass (MS/MS) spectra, input−output kernel...”
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    Article
  17. 17
    The Study of Kernel Regression Function Polygons and Local Linear Ridge Regression Estimators
    by Deng Wen -Shuenn, 鄧文舜
    Published 2002
    “... examine two kernel estimators involving, respectively, piecewise linear interpolation of kernel regression...”
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  18. 18
    Reading Faces. Using Hard Multi-Task Metric Learning for Kernel Regression
    by Nicolle, Jérémie
    Published 2016
    “... multi-dimensionnels, nommée Hard Multi-Task Metric Learning for Kernel Regression (H-MT-MLKR). Notre...”
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  19. 19
    Weighted kernel regression in solving small sample problems for regression framework and its variants
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    Thesis
  20. 20
    Estimating Default Rates on Mortgage Loans with The Kernel Regression Model: A case of Taiwan
    by Chih-lung Ke, 柯志龍
    Published 2008
    “... probabilities in Taiwan’s mortgage market using a nonparametric kernel regression (KR) model. Many past studies...”
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