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  1. 141
    Convergence properties of approximate Bayesian computation
    by Webster, Mark Graham Moody
    Published 2016
    “... of the accepted proposals and the true posterior distribution. The ABCLOC estimate does this using kernel...”
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  2. 142
    Smoothing parameter selection when errors are correlated and application to ozone data
    by St-Aubin, Robert
    Published 2009
    “... proposed, in this work, to modify some of the ideas used in the cross-validation criterion in kernel...”
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  3. 143
    Model-robust quantal regression
    by Nottingham, Quinton J.
    Published 2014
    “... and cannot be assumed by the user, one can use nonparametric methods, such as kernel regression or local...”
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  4. 144
    Machine-learned interatomic potentials for alloys and alloy phase diagrams
    “... potential (GAP) framework uses kernel regression, and we use the smooth overlap of atomic position (SOAP...”
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    Article
  5. 145
    Generalized approach for multi-response machining process optimization using machine learning and evolutionary algorithms
    by Tamal Ghosh, Kristian Martinsen
    Published 2020-06-01
    “... Genetic Algorithm (NSGA-III). For objective approximation, the Gaussian Kernel Regression is selected...”
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    Article
  6. 146
    Estimation of Chlorophyll-a Concentration in Turbid Lake Using Spectral Smoothing and Derivative Analysis
    by Yu Zhou, Xiaopeng Sun, Yuchun Wei, Chunmei Cheng
    Published 2013-07-01
    “... had satisfactory accuracy (R2 = 0.75) after kernel regression smoothing and had smaller validation...”
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    Article
  7. 147
    Nonparametric estimation of econometric models with categorical variables
    by Ouyang, Desheng
    Published 2006
    “... by a cross-validation method. The uniform convergence rate of the kernel regression function estimator...”
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  8. 148
    Functional form estimation using oblique projection matrices for LS-SVM regression models.
    “...Kernel regression models have been used as non-parametric methods for fitting experimental data...”
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    Article
  9. 149
    Signature analysis of two-phase flow pressure drop in proton exchange membrane fuel cell flow channels
    “... for pressure drop signatures is presented based on Auto Associative Kernel Regression. This model has a great...”
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    Article
  10. 150
    Development of a Safeguards Monitoring System for Special Nuclear Facilities
    by Henkel, James Joseph
    Published 2011
    “...-Associative Kernel Regression model, and the effects of incorporating facility specific radiation sensors...”
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  11. 151
    Double Smoothing of Kernel Estimator in Nonparametric Regression
    by Lu Chih-Lung, 陸治隆
    Published 2002
    “... kernel regression estimate﹒The asymptotic bias of the polygon is worse than ideal regression function...”
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  12. 152
    Smooth regression quantile estimation
    by Yu, Keming
    Published 1996
    “...In this thesis, attention will be mainly focused on the local linear kernel regression quantile...”
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  13. 153
    Machine Learning Approaches for Prediction of Facial Rejuvenation Using Real and Synthetic Data
    “... Rejuv3DNet, designed specifically to predict the dermal filler volume. We also propose the kernel...”
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    Article
  14. 154
    Growth Modeling for Quantitative, Spatially Resolved Geographic Atrophy Lesion Kinetics
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    Article
  15. 155
    Sequential design augmentation with model misspecification
    by Sutherland, Sindee S.
    Published 2014
    “... on a modified kernel regression procedure called HATLINK, is presented that incorporates model...”
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  16. 156
    Super-Resolution with compressively sensed MR/PET signals at its input
    by Krzysztof Malczewski
    Published 2020-01-01
    “... algorithm was subjected to state-of-the art image resolution enhancement algorithms: 3D kernel regression...”
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    Article
  17. 157
    Effects of dating errors on nonparametric trend analyses of speleothem time series
    by M. Mudelsee, J. Fohlmeister, D. Scholz
    Published 2012-10-01
    “... kernel regression. Error bands around fitted trend curves are determined by combining (1) block...”
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    Article
  18. 158
    BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer's Disease.
    “.... By employing kernel regression methods, the expression of normal brain-aging patterns forms the basis...”
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    Article
  19. 159
    Automated grading of renal cell carcinoma using whole slide imaging
    “... hematoxylin and eosin-stained digitized slides of clear cell RCC with varying grades. Kernel regression...”
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    Article
  20. 160
    An Integrated Fuzzy Inference Based Monitoring, Diagnostic, and Prognostic System
    by Garvey, Dustin R
    Published 2007
    “... detection rates to a monitoring system implementing an autoassociative kernel regression (AAKR) predictor...”
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