<p>Best parameter settings of <i>K</i> (minimizing comparisons and maximizing recall) with <i>L</i> = 10, <i>F</i> = 2, <i>τ</i> = 0.7.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Final parameter settings of quantification systems A, B, and C after parameter optimization.</p
Comparison of the performance of optimal experimental designs in supporting parameter inference for ...
<p>The optimal parameter defined in algorithms for <i>Recall</i> and <i>Ranking score</i>.</p
<p>Optimal values of parameter <i>α</i> subject to the highest Precision values in four networks.</p
<p>Range of optimal response parameters at <i>T</i> = 10<sup>3</sup>, <i>L</i> = 50.</p
Parameters of the best model fits to the thresholds of 8 Hz and 16 Hz stimuli.</p
We address the problem of nding the pa-rameter settings that will result in optimal performance of a...
Comparative statistical performance of various algorithms in minimizing the F cost function.</p
We address the problem of finding the parameter settings that will result in optimal performance of ...
<p>Model selection comparing regularisation parameters (β) in candidate MaxEnt models.</p
<p>(<b>A</b>)–(<b>C</b>) Varying σ from 0.01 to 1 with <i>α</i> = 0.95 and <i>δ</i> = 1/4: (<b>A</b>...
Results of optimized parameter of the HKELM in the stage of ensemble learning.</p
Optimal coefficients of the models selected for each phase for the most reliable and approximated mo...
<p>The values of Macro-Precision, Macro-Recall, Macro-F1 and Micro-F1 under different number of feat...
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Final parameter settings of quantification systems A, B, and C after parameter optimization.</p
Comparison of the performance of optimal experimental designs in supporting parameter inference for ...
<p>The optimal parameter defined in algorithms for <i>Recall</i> and <i>Ranking score</i>.</p
<p>Optimal values of parameter <i>α</i> subject to the highest Precision values in four networks.</p
<p>Range of optimal response parameters at <i>T</i> = 10<sup>3</sup>, <i>L</i> = 50.</p
Parameters of the best model fits to the thresholds of 8 Hz and 16 Hz stimuli.</p
We address the problem of nding the pa-rameter settings that will result in optimal performance of a...
Comparative statistical performance of various algorithms in minimizing the F cost function.</p
We address the problem of finding the parameter settings that will result in optimal performance of ...
<p>Model selection comparing regularisation parameters (β) in candidate MaxEnt models.</p
<p>(<b>A</b>)–(<b>C</b>) Varying σ from 0.01 to 1 with <i>α</i> = 0.95 and <i>δ</i> = 1/4: (<b>A</b>...
Results of optimized parameter of the HKELM in the stage of ensemble learning.</p
Optimal coefficients of the models selected for each phase for the most reliable and approximated mo...
<p>The values of Macro-Precision, Macro-Recall, Macro-F1 and Micro-F1 under different number of feat...
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Final parameter settings of quantification systems A, B, and C after parameter optimization.</p
Comparison of the performance of optimal experimental designs in supporting parameter inference for ...
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