Performance of machine learning algorithms. by Wenxue Liu (6877754)

Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

Subjects:

Overall framework of our proposed tracking algorithm. by Yi Tao (178829)

The schematic diagram of the iForest algorithm. by Zhibo Xie (6790775)

Subjects:

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Excerpts from the raw acquired data set with the tracking algorithm. by Hannes Benecke (17409369)

Visualization of tracking results of SiamFC_TDA algorithm and comparison algorithm on challenging sequences. by Yi Tao (178829)

Performance of the proposed tracking algorithm and comparison algorithms in three datasets. The higher the metrics, the better. by Yi Tao (178829)

Pseudocode for the missForestPredict algorithm. by Elena Albu (15181070)

“…The missForestPredict R package proposes an adaptation of the missForest imputation algorithm that is fast, user-friendly and tailored for prediction settings. …”

Results of different algorithms for ship detection and tracking. by Guoqing Zhang (151441)

Subjects:

Plot comparing the circular tracking errors of the three algorithms. by Xiaosong Liu (66661)

Pseudocode for the missForestPredict algorithm - new observation. by Elena Albu (15181070)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Improved random forest algorithm. by Zhen Zhao (159931)

“…Subsequently, the feature factors corresponding to the model with the highest accuracy were selected as the optimal feature subsets and used in the model construction as input data. 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. …”

Prediction performance compared with random forest algorithm. by Yixian Wen (12201388)

Plot comparing the circular angle tracking performances of the three algorithms. by Xiaosong Liu (66661)

Data Sheet 1_Bundled assessment to replace on-road test on driving function in stroke patients: a binary classification model via random forest.docx by Lu Huang (211625)

“…The subject was classified as either Success or Unsuccess group according to whether they had completed the on-road test. A random forest algorithm was then applied to construct a binary classification model based on the data obtained from the two groups.…”

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

Graph showing the tracking errors of the three control algorithms under noise. by Xiaosong Liu (66661)