Results 11 to 20 of about 12,171 (220)
Practical use of robust GCV and modified GCV for spline smoothing [PDF]
Generalized cross-validation (GCV) is a popular parameter selection criterion for spline smoothing of noisy data, but it sometimes yields a severely undersmoothed estimate, especially if the sample size is small.
Anderssen, R.S. +2 more
core +2 more sources
Automatic computation of hierarchical biquadratic smoothing slines with minimum GCV
A computationally efficient numerical strategy for fitting approximate minimum GCV bivariate thin plate smoothing splines to large noisy data sets was developed.
Hancock, P A, Hutchinson, Michael
core +3 more sources
GCV for Tikhonov regularization by partial SVD
Tikhonov regularization is commonly used for the solution of linear discrete ill-posed problems with error-contaminated data. A regularization parameter that determines the quality of the computed solution has to be chosen.
FENU, CATERINA +7 more
core +2 more sources
Input Layer Regularization and Automated Regularization Hyperparameter Tuning for Myelin Water Estimation Using Deep Learning. [PDF]
We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Modi M +7 more
europepmc +2 more sources
Efficacy of Fixed Low-Power Long-Duration Radiofrequency Ablation of Ventricular Arrhythmias Originating From the Left Ventricular Summit. [PDF]
Efficacy and safety of a fixed low‐power, long‐duration radiofrequency catheter ablation of ventricular arrhythmias originating from the left ventricular summit. ABSTRACT Background Radiofrequency catheter ablation (RFCA) of ventricular arrhythmias originating from the left ventricular summit (LVS‐VAs) remains challenging.
Masuda T +10 more
europepmc +2 more sources
Robust GCV choice of the regularization parameter for correlated data
We consider Tikhonov regularization of linear inverse problems with discrete noisy data containing correlated errors. Generalized cross-validation (GCV) is a prominent parameter choice method, but it is known to perform poorly if the sample size n is ...
Lukas, M.A.
core +3 more sources
Performance of Robust GCV and Modified GCV for Spline Smoothing [PDF]
Abstract. While it is a popular selection criterion for spline smoothing, generalized cross‐validation (GCV) occasionally yields severely undersmoothed estimates. Two extensions of GCV called robust GCV (RGCV) and modified GCV have been proposed as more stable criteria. Each involves a parameter that must be chosen, but the only guidance has come from
Lukas, M.A. +2 more
openaire +2 more sources
This study used a biresponse nonparametric regression method with truncated spline estimation that used two response variables. Nonparametric regression method is used when the regression curve is not known for its shape and pattern.One of the ...
Ar Ruum Mia Sari +2 more
doaj +1 more source
Genetic studies on diversity and variability in dolichos bean (Lablab purpureus L.)
The field experiment was carried out by using twenty-six field bean genotypes to study the genetic divergence and genetic variability parameters. The characters studied were days to 50 per cent flowering, days to maturity, plant height, the number of
K. Geetha* and S. Divya
doaj +1 more source
Vaksinasi adalah proses pemberian vaksin pada tubuh manusia yang bertujuan untuk meningkatkan kekebalan tubuh secara aktif terhadap suatu penyakit dan tidak menjadi sumber penularan penyakit tersebut.
Ira Yudistira +3 more
doaj +1 more source

