<p>Results are obtained by 10-fold cross-validation experiments on MovieLens (5,000 users and 5,977 objects) with cosine similarity measure. * and *** denotes the method in the corresponding row is better than that in the corresponding column at the statistical significance level of 10<sup>−1</sup> and 10<sup>−8</sup> after the Bonferroni correction, respectively.+denotes the null-hypothesis cannot be rejected at the significance level of 10<sup>−1</sup> after the Bonferroni correction. Restart probabilities for random walk approaches are set to 0.9. Parameters are set to <i>ß</i> = 10 for RWPL, <i>λ</i> = 0.04 for RWNN, <i>δ</i> = 0.17 for RWTF, <i>ß</i> = 10 for USPL, <i>λ</i> = 0.03 for USNN and <i>δ</i> = 0.20 for USTF to obtain the hig...
Diagnostic accuracy studies assess sensitivity and specificity of a new index test in relation to an...
† and ‡<p>indicates the results of our proposed methods are statistical significance over the four b...
<p>Comparison of performance measures among Naïve Bayes, SVM and Random Forest methods on testing da...
<p>Results are mean (standard derivation) obtained by 10-fold cross-validation experiments on MovieL...
<p>(A) Proportions of test objects ranked at top positions. (B) Cumulative distributions of top rank...
<p>To compare with Bonferroni correction and FDR procedure, we drew histogram of <i>p</i>-values in ...
Comparison of precision, recall and F-measure between different RS’s using MovieLens dataset.</p
Post-hoc pairwise comparisons between tasks were corrected using the Bonferroni method (*p < 0.05, *...
<p>(A–C) Mean relative rank. (D–F) Precision at <i>L</i> = 20. Results are obtained by 10-fold cross...
<p>(A) For each pair of methods, the Euclidean distance between the PWMs of the two methods is repor...
†<p>indicates the results of our proposed methods are statistical significance over the four baselin...
<p>Results show the mean accuracy (upper plot) and proportion of significant results (bottom plot) o...
<p>(A) Mean relative rank. (B) Precision at <i>L</i> = 20. (C) Recall enhancement. (D) Hit-rate at <...
Comparisons of the Significance Weighting (SW) with the EBCR approach on three benchmark datasets: M...
<p>MCI converter/non-converter classification comparison of different combinations of feature select...
Diagnostic accuracy studies assess sensitivity and specificity of a new index test in relation to an...
† and ‡<p>indicates the results of our proposed methods are statistical significance over the four b...
<p>Comparison of performance measures among Naïve Bayes, SVM and Random Forest methods on testing da...
<p>Results are mean (standard derivation) obtained by 10-fold cross-validation experiments on MovieL...
<p>(A) Proportions of test objects ranked at top positions. (B) Cumulative distributions of top rank...
<p>To compare with Bonferroni correction and FDR procedure, we drew histogram of <i>p</i>-values in ...
Comparison of precision, recall and F-measure between different RS’s using MovieLens dataset.</p
Post-hoc pairwise comparisons between tasks were corrected using the Bonferroni method (*p < 0.05, *...
<p>(A–C) Mean relative rank. (D–F) Precision at <i>L</i> = 20. Results are obtained by 10-fold cross...
<p>(A) For each pair of methods, the Euclidean distance between the PWMs of the two methods is repor...
†<p>indicates the results of our proposed methods are statistical significance over the four baselin...
<p>Results show the mean accuracy (upper plot) and proportion of significant results (bottom plot) o...
<p>(A) Mean relative rank. (B) Precision at <i>L</i> = 20. (C) Recall enhancement. (D) Hit-rate at <...
Comparisons of the Significance Weighting (SW) with the EBCR approach on three benchmark datasets: M...
<p>MCI converter/non-converter classification comparison of different combinations of feature select...
Diagnostic accuracy studies assess sensitivity and specificity of a new index test in relation to an...
† and ‡<p>indicates the results of our proposed methods are statistical significance over the four b...
<p>Comparison of performance measures among Naïve Bayes, SVM and Random Forest methods on testing da...