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

Subjects:

Experimental results of different algorithms in small-scale instances. by Hao Guo (346528)

Experimental results of different algorithms in large-scale instances. by Hao Guo (346528)

Experimental results of different algorithms in medium-scale instances. by Hao Guo (346528)

Comparison of TL and VL of different algorithms. by Guozhu Sui (21672798)

PLS algorithm results. by Hao Huang (111923)

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

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

Workflow of the BOMS algorithm. by Ocima Kamboj (21533199)

Summary of the metrics of the different trained models foreach algorithm in each split for each dataset. by Jaime B. Matas-Bustos (21772430)

Summary of the metrics of the different trained algorithms that performed best in the Testing process for each dataset. by Jaime B. Matas-Bustos (21772430)

BM3D algorithmic process. by Xiyu Zheng (21703063)

“…We obtained SS-OCT images of the injury site under different laser doses and recovery times. To enhance image clarity, we applied noise reduction using the BM3D algorithm. …”

Summary of the metrics of the different trained algorithms based on mean and 95% confidence intervals (calculated using t-Student) for the Testing process in each dataset. by Jaime B. Matas-Bustos (21772430)

“…<p>Summary of the metrics of the different trained algorithms based on mean and 95% confidence intervals (calculated using t-Student) for the Testing process in each dataset.…”

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. …”

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)

Results from heterogeneity test using difference-in-means estimator. by Vishalie Shah (7301909)

Histograms of dose differences in normal lung dose metrics, Lung D_mean and V_20Gy (right), across different algorithms. by Kainan Shao (8999378)

Subjects:

Bagging Model Algorithm Flow. by Wen Yu (384130)