The comparison of the average running time of the examined methods for 150 experiments executed for each model and for N = 200 data points.</p
The proposed technique efficiency compared to other novel techniques (time in milliseconds).</p
<p>Comparison of running time (seconds) of the algorithms implemented in MATLAB (upper section) and ...
<p>Evaluation of the running time represented as the mean over 30 bootstrap iterations. All methods ...
<p>Each value is the average time in seconds for 10 independent runs.</p><p>Comparison of the comput...
<p>Comparison of our approach and counterpart algorithms in terms of running time (<i>s</i>).</p
The total run time performance per hours of the two pipelines for each sample.</p
<p>Computational time is depicted as a function of genome size when setting the sample size to 50, a...
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Each value of running time is the cumulative time for 100 implementations.</p
The numbers in brackets highlight the number of successfully prepared pockets or the number of compa...
(A) Run time for different sample numbers on a fixed set of genes using real data. (B) Run time for ...
<p>Median runtime of 1000 trials of betasort, as a result of 1000 simulations.</p
Top row corresponds to the run-times in seconds of different methods in scenario (S1) and scenario (...
<p>Total execution time for each method on the 28 samples of real biological data.</p
<p>A comparison of running times of TPA(FCED), RLA and RLA-CL on simulated data sets (generated with...
The proposed technique efficiency compared to other novel techniques (time in milliseconds).</p
<p>Comparison of running time (seconds) of the algorithms implemented in MATLAB (upper section) and ...
<p>Evaluation of the running time represented as the mean over 30 bootstrap iterations. All methods ...
<p>Each value is the average time in seconds for 10 independent runs.</p><p>Comparison of the comput...
<p>Comparison of our approach and counterpart algorithms in terms of running time (<i>s</i>).</p
The total run time performance per hours of the two pipelines for each sample.</p
<p>Computational time is depicted as a function of genome size when setting the sample size to 50, a...
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Each value of running time is the cumulative time for 100 implementations.</p
The numbers in brackets highlight the number of successfully prepared pockets or the number of compa...
(A) Run time for different sample numbers on a fixed set of genes using real data. (B) Run time for ...
<p>Median runtime of 1000 trials of betasort, as a result of 1000 simulations.</p
Top row corresponds to the run-times in seconds of different methods in scenario (S1) and scenario (...
<p>Total execution time for each method on the 28 samples of real biological data.</p
<p>A comparison of running times of TPA(FCED), RLA and RLA-CL on simulated data sets (generated with...
The proposed technique efficiency compared to other novel techniques (time in milliseconds).</p
<p>Comparison of running time (seconds) of the algorithms implemented in MATLAB (upper section) and ...
<p>Evaluation of the running time represented as the mean over 30 bootstrap iterations. All methods ...
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