Comparison of average precision means of different algorithms. by Haisong Xu (141729)

“…<p>Comparison of average precision means of different algorithms.</p>…”

RMSE value filled by different algorithms (mean ± std). by Xing Chen (140292)

“…<p>RMSE value filled by different algorithms (mean ± std).</p>…”

Experimental results of different parameters k in K-Means algorithm for repeatability. by Wang Yang (311439)

“…<p>Experimental results of different parameters k in K-Means algorithm for repeatability.…”

Experimental results of different parameters k in K-Means algorithm for reliability. by Wang Yang (311439)

“…<p>Experimental results of different parameters k in K-Means algorithm for reliability.…”

Kappa coefficients for different algorithms. by Yingying Liu (360782)

the main structural differences among different algorithms. by Xingan Fu (21594713)

Different algorithms’ performance across 8 cores. by Yongan Feng (7345193)

Different algorithms’ performance across 16 cores. by Yongan Feng (7345193)

Different algorithms’ performance across 12 cores. by Yongan Feng (7345193)

Different algorithms’ performance across 4 cores. by Yongan Feng (7345193)

RMSE value of missing data filling algorithms on different datasets (mean ± std). by Xing Chen (140292)

“…<p>RMSE value of missing data filling algorithms on different datasets (mean ± std).</p>…”

RMSE value of missing data filling algorithms on different datasets (mean ± std). by Xing Chen (140292)

“…<p>RMSE value of missing data filling algorithms on different datasets (mean ± std).</p>…”

Comparison of signal AMC performance of different algorithms. by Li Yuan (102305)

Performance comparison of different feature clustering algorithms. by Li Yuan (102305)

Computation time of the mice algorithm with the different subroutines in seconds. by Jürgen Kampf (21354027)

Confusion matrix analysis for different algorithms. by Yingying Liu (360782)

Means plots of genetic algorithm calibration parameters. by Junjie He (700642)

Mean values of different benchmark functions. by Jalal- ud-Din (21474307)

“…Proposed parent-centric real-coded crossover operators increase the precision and robustness of GAs, which is confirmed by empirical results on testing constrained and un-constrained benchmark functions having different complexity levels. MGGX parent-centric real-coded crossover operator performs best in 20 out of 36 mean values cases and achieves the lowest standard deviation values in 21 out of 36 cases. …”

Comparison result of different detection algorithms. by Zhongjian Xie (4633099)

K-means clustering method based on PCA algorithm. by Elmira Bagheri (20553110)

“…Nineteen real driving cycles were generated using widely employed K-means and PCA algorithms. The vehicles were simulated on MATLAB/Simulink according to their specifications. …”