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Automatica, ISSN 0005-1098, 04/2018, Volume 90, pp. 130 - 137
(GCV) is one of the most important approaches used to estimate parameters in the context of inverse problems and regularization techniques. A notable example... 
Smoothness parameter | Inverse problems | Splines | Generalized cross-validation | Kalman filtering | Regularization | On-line system identification | REGRESSION | NETWORKS | ENGINEERING, ELECTRICAL & ELECTRONIC | SMOOTHING NOISY DATA | LINEAR-SYSTEM IDENTIFICATION | AUTOMATION & CONTROL SYSTEMS
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 06/2012, Volume 56, Issue 6, pp. 1869 - 1879
Journal Article
Statistica Sinica, ISSN 1017-0405, 7/2017, Volume 27, Issue 3, pp. 1017 - 1036
The lasso and related sparsity inducing algorithms have been the target of substantial theoretical and applied research. Correspondingly, many results are... 
Persistence | Linear oracle | Model selection | Regularization | DANTZIG SELECTOR | REPRESENTATIONS | regularization | model selection | STATISTICS & PROBABILITY | PENALIZED LIKELIHOOD | GENERALIZED LINEAR-MODELS | VARIABLE SELECTION | RECOVERY | TUNING PARAMETER SELECTION | ORACLE INEQUALITIES | persistence | REGRESSION SHRINKAGE | ASYMPTOTICS
Journal Article
Journal of Nonparametric Statistics, ISSN 1048-5252, 01/2018, Volume 30, Issue 1, pp. 197 - 215
K-fold cross-validation (CV) is widely adopted as a model selection criterion. In K-fold CV, folds are used for model construction and the hold-out fold is... 
model selection | tuning parameter selection | Cross-validation | K-fold cross-validation | REGRESSION | REGULARIZATION PATHS | STATISTICS & PROBABILITY | GENERALIZED LINEAR-MODELS | VARIABLE SELECTION | ORACLE PROPERTIES | CONSISTENCY | SHRINKAGE | COORDINATE DESCENT | LASSO | INFORMATION CRITERIA | Mathematical models | Consistency
Journal Article
by Feng, Y and Yu, Y
STATISTICA SINICA, ISSN 1017-0405, 07/2019, Volume 29, Issue 3, pp. 1607 - 1630
Cross-validation (CV) methods are popular for selecting the tuning parameter in high-dimensional variable selection problems. We show that a misalignment of... 
REGRESSION | PATH | ERROR RATE | restricted maximum likelihood estimators | STATISTICS & PROBABILITY | PENALIZED LIKELIHOOD | Generalized linear models | PREDICTION | restricted model-selection consistency | TUNING PARAMETER SELECTION | MODEL SELECTION | GENE-EXPRESSION | leave-n(v)-out cross-validation | variable selection
Journal Article
Journal of Statistical Planning and Inference, ISSN 0378-3758, 04/2015, Volume 159, pp. 90 - 104
This paper investigates two types of results that support the use of Generalized Cross Validation (GCV) for variable selection under the assumption of... 
High-dimensional data | Sparsity | Lasso | Mallows’s [formula omitted] | Generalized Cross Validation | Variable selection | Threshold | Mallows's C | Generalized cross validation | REGRESSION | FREEDOM | STATISTICS & PROBABILITY | Mallows's C-p
Journal Article
Applied Mathematics and Computation, ISSN 0096-3003, 09/2014, Volume 243, pp. 258 - 268
In this paper we propose a new method to apply the Generalized Cross-Validation (GCV) as a stopping rule for the Conjugate Gradient (CG). In general, to apply... 
Conjugate Gradient | Generalized Cross-Validation | Regularization problems | MATHEMATICS, APPLIED | NOISY | Computation | Mathematical analysis | Conjugate gradients | Experimentation | Mathematical models | Derivatives | Two dimensional | Iterative methods
Journal Article
Calcolo, ISSN 0008-0624, 9/2018, Volume 55, Issue 3, pp. 1 - 25
Generalized cross-validation (GCV) is a popular tool for specifying the tuning parameter in linear regression model or equivalently the regularization... 
Extrapolation | 15A63 | 65F22 | Numerical Analysis | 65F30 | Generalized cross-validation | 65F15 | Mathematics | Theory of Computation | Moments | Square inverse form | Trace estimator | TRACE | MATHEMATICS | TIKHONOV REGULARIZATION | MATRIX | MATHEMATICS, APPLIED | GCV | PARAMETER | Parameter estimation | Regression models | Statistical analysis | Ill-posed problems (mathematics) | Estimates | Regularization
Journal Article
Journal of Statistical Computation and Simulation, ISSN 0094-9655, 12/2015, Volume 85, Issue 18, pp. 3628 - 3640
Journal Article
Neurocomputing, ISSN 0925-2312, 07/2016, Volume 198, pp. 40 - 47
In this paper, we propose a generalized regression neural networks (GRNNS) with -fold cross-validation (GRNNSK) method for predicting the displacement of... 
Landslide | Pearson cross-correlation coefficients | Generalized regression neural networks | Mutual information | RESERVOIR | MODEL | RAINFALL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Case studies | Landslides | Neural networks | Analysis | Reservoirs | Image processing | Correlation analysis | Regression | Mathematical models | Displacement
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2014, Volume 8866, pp. 533 - 541
Journal Article
Journal of Visual Communication and Image Representation, ISSN 1047-3203, 04/2015, Volume 28, pp. 1 - 14
Wavelet shrinkage is a promising method in image denoising, the key factor of which lies in the threshold selection. A fast and effective wavelet denoising... 
Pseudo-Gibbs phenomena | Recursion strategy | Wavelet shrinkage | Translation invariant | Image processing | Generalized cross-validation | Integer wavelet transform | Image denoising | COMPUTER SCIENCE, SOFTWARE ENGINEERING | WAVELET-DOMAIN | COMPUTER SCIENCE, INFORMATION SYSTEMS | TRANSFORM
Journal Article
by Wen, C and Xie, K and Hu, Y and He, JB
IET SIGNAL PROCESSING, ISSN 1751-9675, 04/2018, Volume 12, Issue 2, pp. 149 - 154
Journal Article
Inverse Problems and Imaging, ISSN 1930-8337, 2018, Volume 12, Issue 5, pp. 1103 - 1120
The regularization approach is used widely in image restoration problems. The visual quality of the restored image depends highly on the regularization... 
Generalized cross validation (GCV) | Total variation (TV) | Regularization parameter | Primal-dual | MATHEMATICS, APPLIED | ILL-POSED PROBLEMS | ALGORITHM | PHYSICS, MATHEMATICAL | DECONVOLUTION | MINIMIZATION | VARIATION IMAGE-RESTORATION | L-CURVE | total variation (TV) | INVERSE PROBLEMS | generalized cross validation (GCV) | GCV | primal-dual
Journal Article
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