© Springer International Publishing AG 2018. This chapter presents the evaluation of the proposed algorithms to verify the effectiveness. Thus, first analyse the time complexity of or proposed algorithms and present the experimental results
Abstract- We present a methodology for the quantitative performance evaluation of detection algorith...
<p>Comparison of the proposed algorithm with the state of the art methods available in literature.</...
Several studies focused on the disparity in the efficacy of performance evaluation using the methods...
<p>Performance comparison of the proposed algorithm and 17 existing algorithms using four existing e...
The timing performance data of ten related algorithms (solving the single keyword pattern matching p...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
12 pagesThe community of program optimisation and analysis, code performance evaluation, parallelisa...
Since the introduction by John F. Meyer in 1980, various algorithms have been proposed to evaluate t...
<p>(A) The algorithms are evaluated with (B) The algorithms are evaluated with (C) The algorithms ...
This article introduces alternative techniques to compare algorithmic performance. The first approac...
<p>Comparison of our approach and counterpart algorithms in terms of running time (<i>s</i>).</p
<p>The performances of the different classification algorithms as a function of the number of trials...
Includes bibliographical references (p. 25-26).Ravindra K. Ahuja, James B. Orlin
This paper has been motivated by two observations. First, empirical comparison of algorithms is ofte...
International audienceEmpirical performance evaluations, in competitions and scientific publications...
Abstract- We present a methodology for the quantitative performance evaluation of detection algorith...
<p>Comparison of the proposed algorithm with the state of the art methods available in literature.</...
Several studies focused on the disparity in the efficacy of performance evaluation using the methods...
<p>Performance comparison of the proposed algorithm and 17 existing algorithms using four existing e...
The timing performance data of ten related algorithms (solving the single keyword pattern matching p...
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
12 pagesThe community of program optimisation and analysis, code performance evaluation, parallelisa...
Since the introduction by John F. Meyer in 1980, various algorithms have been proposed to evaluate t...
<p>(A) The algorithms are evaluated with (B) The algorithms are evaluated with (C) The algorithms ...
This article introduces alternative techniques to compare algorithmic performance. The first approac...
<p>Comparison of our approach and counterpart algorithms in terms of running time (<i>s</i>).</p
<p>The performances of the different classification algorithms as a function of the number of trials...
Includes bibliographical references (p. 25-26).Ravindra K. Ahuja, James B. Orlin
This paper has been motivated by two observations. First, empirical comparison of algorithms is ofte...
International audienceEmpirical performance evaluations, in competitions and scientific publications...
Abstract- We present a methodology for the quantitative performance evaluation of detection algorith...
<p>Comparison of the proposed algorithm with the state of the art methods available in literature.</...
Several studies focused on the disparity in the efficacy of performance evaluation using the methods...
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