Add to ORKGWe give an explict example of parameter estimation for a univariate radial basis function using cross-validation
The present manuscript mainly focus on cross-validation procedures (and in particular on leave-p-out...
This paper compares several model selection methods, based on experimental estimates of their genera...
This paper presents a theory of error in cross-validation testing of algorithms for predicting real-...
<p>The cross-validation approaches for different kernels were run on our training set including 198 ...
Abstract Many radial basis function (RBF) methods contain a free shape parameter that plays an impor...
<p>(A) Simulation curve for fixed 0.1 <i>C<sub>R</sub></i>+ additional <i>C<sub>I</sub></i> with all...
In model building and model evaluation, cross-validation is a frequently used resampling method. Unf...
A long-standing problem in classification is the determination of the regularization parameter. Near...
In this thesis an approximation method is discussed that provides similar results to leave-one-out c...
We study the problem of selecting a regularization parameter in penalized Gaussian graphical models....
We study the problem of selecting a regularization parameter in penalized Gaussian graphical models....
Evaluating predictive performance is essential after fitting a model and leave-one-out cross-validat...
A likelihood-based generalization of usual kernel and nearest-neighbor-type smoothing techniques and...
L'objet de cette thèse est l'étude d'un certain type d'algorithmes de rééchantillonnage regroupés so...
The present manuscript mainly focus on cross-validation procedures (and in particular on leave-p-out...
The present manuscript mainly focus on cross-validation procedures (and in particular on leave-p-out...
This paper compares several model selection methods, based on experimental estimates of their genera...
This paper presents a theory of error in cross-validation testing of algorithms for predicting real-...
<p>The cross-validation approaches for different kernels were run on our training set including 198 ...
Abstract Many radial basis function (RBF) methods contain a free shape parameter that plays an impor...
<p>(A) Simulation curve for fixed 0.1 <i>C<sub>R</sub></i>+ additional <i>C<sub>I</sub></i> with all...
In model building and model evaluation, cross-validation is a frequently used resampling method. Unf...
A long-standing problem in classification is the determination of the regularization parameter. Near...
In this thesis an approximation method is discussed that provides similar results to leave-one-out c...
We study the problem of selecting a regularization parameter in penalized Gaussian graphical models....
We study the problem of selecting a regularization parameter in penalized Gaussian graphical models....
Evaluating predictive performance is essential after fitting a model and leave-one-out cross-validat...
A likelihood-based generalization of usual kernel and nearest-neighbor-type smoothing techniques and...
L'objet de cette thèse est l'étude d'un certain type d'algorithmes de rééchantillonnage regroupés so...
The present manuscript mainly focus on cross-validation procedures (and in particular on leave-p-out...
The present manuscript mainly focus on cross-validation procedures (and in particular on leave-p-out...
This paper compares several model selection methods, based on experimental estimates of their genera...
This paper presents a theory of error in cross-validation testing of algorithms for predicting real-...