<p>The feature vectors are obtained by one-versus-one CSP methods. The performance of BLDA and EBLDA classification methods are estimated with different training sizes.</p
Cross-validation probabilities of classification into population samples from LDA (with absolute num...
<p>The cross-validation approaches for different kernels were run on our training set including 198 ...
<p>Results for different basic classifiers (mean±SD) by using varied numbers of supplementary traini...
<p>Comparison of kernelPLS with four other methods. For 5-fold cross validation classification accur...
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
<p>The number of selected reliable samples and the corresponding classification accuracy when probab...
<p>For most classifiers, cross-validation is used at two levels: at an outer level for training and ...
<p>The upper panel illustrates the combination of the inner cross-validation loop, which is used to ...
<p>The prediction results compared with other methods on the training dataset using 10-fold cross-va...
<p>The correct rates (%) were derived with systematically varying number of labels (L), number of sa...
<p>Comparison of kernelPLS with four other methods. For 10-fold cross validation classification accu...
<p>10-Fold Cross Validation Accuracy of classification methods with the addition of noisy variables....
<p>10-Fold Cross Validation Accuracies of the classifiers applied to the Artificial dataset.</p
<p>OSWLDA, OPCALDA and OLDA were trained on 8100 ERPs. Then the data set A was classified by those c...
<p>10-fold cross-validation of static SSVEP classification by the quantity of training data.</p
Cross-validation probabilities of classification into population samples from LDA (with absolute num...
<p>The cross-validation approaches for different kernels were run on our training set including 198 ...
<p>Results for different basic classifiers (mean±SD) by using varied numbers of supplementary traini...
<p>Comparison of kernelPLS with four other methods. For 5-fold cross validation classification accur...
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
<p>The number of selected reliable samples and the corresponding classification accuracy when probab...
<p>For most classifiers, cross-validation is used at two levels: at an outer level for training and ...
<p>The upper panel illustrates the combination of the inner cross-validation loop, which is used to ...
<p>The prediction results compared with other methods on the training dataset using 10-fold cross-va...
<p>The correct rates (%) were derived with systematically varying number of labels (L), number of sa...
<p>Comparison of kernelPLS with four other methods. For 10-fold cross validation classification accu...
<p>10-Fold Cross Validation Accuracy of classification methods with the addition of noisy variables....
<p>10-Fold Cross Validation Accuracies of the classifiers applied to the Artificial dataset.</p
<p>OSWLDA, OPCALDA and OLDA were trained on 8100 ERPs. Then the data set A was classified by those c...
<p>10-fold cross-validation of static SSVEP classification by the quantity of training data.</p
Cross-validation probabilities of classification into population samples from LDA (with absolute num...
<p>The cross-validation approaches for different kernels were run on our training set including 198 ...
<p>Results for different basic classifiers (mean±SD) by using varied numbers of supplementary traini...
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