Comparison of accuracy for different approaches, where small value indicates good performance and bold number denotes the best result.</p
<p>Values are F1-score (recall/precision) (%)</p><p>Comparison of two methods in term recognition: r...
Comparison of accuracy of best machine-learners on various feature categories.</p
<p>Classification accuracy comparison with PIWAH, TIWAH and proposed research.</p
Comparison of accuracy for different approaches based on multi-scale descriptors, where small value ...
The means and ranges of Numerosity Comparison performance (accuracy, RT) in each condition.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
The accuracy of different k values is calculated and compared by two metrics.</p
<p>Comparison of accuracy and precision of different methods based median and standard deviation of ...
Comparison of the WR of different trading algorithms in the different industries of CSICS. Best perf...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
Comparison of accuracy and feature dimension under different methods based on MIC.</p
<p>Summary of the comparison. Boldface indicates significantly better performance than the other met...
Comparison of classification accuracy while using different sizes of vocabulary.</p
<p>Values are F1-score (recall/precision) (%)</p><p>Comparison of two methods in term recognition: r...
Comparison of accuracy of best machine-learners on various feature categories.</p
<p>Classification accuracy comparison with PIWAH, TIWAH and proposed research.</p
Comparison of accuracy for different approaches based on multi-scale descriptors, where small value ...
The means and ranges of Numerosity Comparison performance (accuracy, RT) in each condition.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
The accuracy of different k values is calculated and compared by two metrics.</p
<p>Comparison of accuracy and precision of different methods based median and standard deviation of ...
Comparison of the WR of different trading algorithms in the different industries of CSICS. Best perf...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
Comparison of accuracy and feature dimension under different methods based on MIC.</p
<p>Summary of the comparison. Boldface indicates significantly better performance than the other met...
Comparison of classification accuracy while using different sizes of vocabulary.</p
<p>Values are F1-score (recall/precision) (%)</p><p>Comparison of two methods in term recognition: r...
Comparison of accuracy of best machine-learners on various feature categories.</p
<p>Classification accuracy comparison with PIWAH, TIWAH and proposed research.</p
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