<p>Jackknife tests (%) and the mean feature numbers of the SVM-based predictors for 30 samples.</p
A computer-intensive method for estimating small sample statistics and obtaining confidence interval...
<div><p>(A) The gray shading indicates prediction accuracy as a function of SVM score (left <i>y</i>...
<p>Higher values for the regularized training gain of the jack-knife test indicates greater contribu...
<p>Results of Maxent model showing jackknife tests of variable importance for training samples.</p
<p>Comparison of the jackknife test results between our method and other competing structural class ...
Blue bar = Shows importance of each variables in explaining the variation in the data when used sepa...
<p>Performance comparison among various types of sequence features and methods for the within-germli...
<p>Overall relative importance of predictor variables for invasive species from Jackknife test.</p
<p>The performance of different features on PDB1075 dataset (Jackknife test evaluation).</p
<p>Results of jackknife test of relative importance of predictor variables for Chinese caterpillar f...
<p>Average p-values and effect sizes (IOCCM) for comparison of achieved accuracy to chance level in ...
SVM classification accuracy in %, with classification based on smoothed (unsmoothed) data within the...
The technique of jackknife is applied to a general class of estimators. Considering a natural popula...
<p>Comparison results by a jackknife methodology among LIDC and nine other prediction measures in th...
The accuracy of obtaining critical points for Miller\u27s Jackknife test for small samples by way of...
A computer-intensive method for estimating small sample statistics and obtaining confidence interval...
<div><p>(A) The gray shading indicates prediction accuracy as a function of SVM score (left <i>y</i>...
<p>Higher values for the regularized training gain of the jack-knife test indicates greater contribu...
<p>Results of Maxent model showing jackknife tests of variable importance for training samples.</p
<p>Comparison of the jackknife test results between our method and other competing structural class ...
Blue bar = Shows importance of each variables in explaining the variation in the data when used sepa...
<p>Performance comparison among various types of sequence features and methods for the within-germli...
<p>Overall relative importance of predictor variables for invasive species from Jackknife test.</p
<p>The performance of different features on PDB1075 dataset (Jackknife test evaluation).</p
<p>Results of jackknife test of relative importance of predictor variables for Chinese caterpillar f...
<p>Average p-values and effect sizes (IOCCM) for comparison of achieved accuracy to chance level in ...
SVM classification accuracy in %, with classification based on smoothed (unsmoothed) data within the...
The technique of jackknife is applied to a general class of estimators. Considering a natural popula...
<p>Comparison results by a jackknife methodology among LIDC and nine other prediction measures in th...
The accuracy of obtaining critical points for Miller\u27s Jackknife test for small samples by way of...
A computer-intensive method for estimating small sample statistics and obtaining confidence interval...
<div><p>(A) The gray shading indicates prediction accuracy as a function of SVM score (left <i>y</i>...
<p>Higher values for the regularized training gain of the jack-knife test indicates greater contribu...
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