<p>The cross-validation approaches for different kernels were run on our training set including 198 samples. The accuracy was used to evaluate the performance.</p
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...
<p>Recall, precision, and f-measure are calculated for each class. Weighted f-measure, <i>f<sub>W</s...
<p>Comparison of kernelPLS with four other methods. For 5-fold cross validation classification accur...
<p>Comparison of kernelPLS with four other methods. For 10-fold cross validation classification accu...
Mika et al. [1] introduce a non-linear formulation of the Fisher discriminant based the well-known "...
Mika et al. [1] apply the “kernel trick ” to obtain a non-linear variant of Fisher’s linear discrimi...
Uniform weights correspond to the sum of kernel matrices. For global weights, a wrapper method is us...
<p>Performances of four different classification methods, combined with 4-fold and Leave-One-Out cro...
We describe a Monte Carlo investigation of a number of variants of cross-validation for the assessme...
We describe a Monte Carlo investigation of a number of variants of cross-validation for the assessme...
Model selection is one of the key issues both in recent research and application of kernel meth-ods....
Performance of different modules on training sets using 5-fold cross-validation.</p
<p>Results show the mean accuracy (upper plot) and proportion of significant results (bottom plot) o...
For each participant, the training set was split into three consecutive windows of equal size. In ea...
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...
<p>Recall, precision, and f-measure are calculated for each class. Weighted f-measure, <i>f<sub>W</s...
<p>Comparison of kernelPLS with four other methods. For 5-fold cross validation classification accur...
<p>Comparison of kernelPLS with four other methods. For 10-fold cross validation classification accu...
Mika et al. [1] introduce a non-linear formulation of the Fisher discriminant based the well-known "...
Mika et al. [1] apply the “kernel trick ” to obtain a non-linear variant of Fisher’s linear discrimi...
Uniform weights correspond to the sum of kernel matrices. For global weights, a wrapper method is us...
<p>Performances of four different classification methods, combined with 4-fold and Leave-One-Out cro...
We describe a Monte Carlo investigation of a number of variants of cross-validation for the assessme...
We describe a Monte Carlo investigation of a number of variants of cross-validation for the assessme...
Model selection is one of the key issues both in recent research and application of kernel meth-ods....
Performance of different modules on training sets using 5-fold cross-validation.</p
<p>Results show the mean accuracy (upper plot) and proportion of significant results (bottom plot) o...
For each participant, the training set was split into three consecutive windows of equal size. In ea...
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...
<p>Recall, precision, and f-measure are calculated for each class. Weighted f-measure, <i>f<sub>W</s...
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