Reconstruction errors of the five algorithms with different numbers of projection vectors. by Jing Wang (6206297)

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Improved random forest algorithm. by Zhen Zhao (159931)

“…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

K-means++ clustering algorithm. by Zhen Zhao (159931)

“…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

Feature selection metrics and their definitions. by Amal H. Alharbi (21755906)

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ANOVA test for feature selection. by Amal H. Alharbi (21755906)

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RMSE comparison of different algorithms in the TUM dataset 2_desk_with_person. by Gaochao Yang (18458505)

Trajectory comparison of different algorithms in the TUM dataset 2_desk_with_person. by Gaochao Yang (18458505)

Results of the PSNR measure for all algorithms. by Jiaqi Ma (773451)

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Results of the FSIM measure for all algorithms. by Jiaqi Ma (773451)

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Results of the SSIM measure for all algorithms. by Jiaqi Ma (773451)

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Optimized parameters. by Yin Luo (160903)

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Sensitivity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

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Specificity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

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Fitness values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

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Optimal patch size and stride selection algorithm with stability constraints. by Chenglong Ge (2626258)

The reconstruction error and classification accuracy of the five algorithms on the six face databases. by Jing Wang (6206297)

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Improve algorithm settings. by Hui Zhao (7395)

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An improved Grey Wolf Optimization based heuristic initialization algorithm for feature selection in P2P lending default prediction by Muhammad Sam'an (20649621)

“…In this research, the finding used Grey Wolf Optimization (GWO) algorithm for selecting feature. However, GWO had flaw, starting with suboptimal initial solutions, which were not often the best option. …”

The optimal localization recall precision (oLRP) of different algorithms on each category of the RSOD dataset. by Guoguang Hua (22305400)

Hyperparameter optimization results. by Jiayue Zhang (7832669)

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