S2 Data - Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism by Yutong Liu (4027994)

S1 Data - Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism by Yutong Liu (4027994)

Number of wavelengths selected by successive projections algorithm (SPA) (a) and the wavelengths selected by successive projections algorithm (SPA) (b). by Xiao Liu (65413)

Subjects: “…successive projections algorithm…”

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. …”

AUROC values from different algorithms for variables in sequencing data. by Pei-Yau Lung (5090393)

The ANFIS algorithm details. by Mohammadmahdi Taheri (21722285)

“…Illustrative results show that the proposed approach is effective for portfolio selection and optimization in the presence of uncertain data.</p></div>…”

Parallel plot showing hyperparameter exploration. by Ramona Leenings (11167294)

The accuracy of all employed learning algorithms. by Quan Shao (20148209)

Sample data of TSs. by Jiaxin Li (441199)

Summary by recording: Annotations, training features, and optimal parameters. by Rytis Paškauskas (20404817)

Example of the specific process for generating . by Ming Gao (115719)

All trial data from [16]. by Spencer Caplan (10188380)

Subjects:

First-block trial data from [16]. by Spencer Caplan (10188380)

Subjects:

Second-block trial data from [16]. by Spencer Caplan (10188380)

Subjects:

Super parameter optimization result. by Guomei Cui (20721578)

“…The dataset covers multiple tests of multiple athletes, ensuring the diversity of samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted. …”

Here are the samples prediction of cattle weight using our proposed best 3Conv3Dense model. by Md Junayed Hossain (22615268)

Image2_An evolution strategy of GAN for the generation of high impedance fault samples based on Reptile algorithm.TIF by Hao Bai (555291)

Image1_An evolution strategy of GAN for the generation of high impedance fault samples based on Reptile algorithm.TIF by Hao Bai (555291)

Image2_An evolution strategy of GAN for the generation of high impedance fault samples based on Reptile algorithm.TIF by Hao Bai (555291)