ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Training algorithm flow. by Xing Chen (140292)

“…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …”

Performance of algorithms outside the training species. by Sven B. Gould (12237287)

Illustration of the training algorithm for the sPHMM. by Tianshu Li (1527088)

Performance metrics (compared with DXA-based measurement) for different prediction algorithms using all predictors in training data. by Nick Birk (15444728)

“…<p>Performance metrics (compared with DXA-based measurement) for different prediction algorithms using all predictors in training data.…”

Characteristics of training algorithms. by Tuan Anh Nguyen (121944)

“…<div><p>Data training algorithms based on Artificial Intelligence (AI) often encounter overfitting, underfitting, or bias issues. …”

List of the time used by each algorithm. by JiaMing Gong (20427837)

“…To this end, this paper proposes an entropy-based dynamic ensemble classification algorithm (EDAC) to consider data streams with class imbalance and concept drift simultaneously. …”

Federated averaging algorithm. by Yan Qin (118276)

Presents the comparison of various density based algorithms. by Shahneela Pitafi (20454775)

Subjects:

DMTD algorithm. by Yunhu Huang (21402795)

Subjects:

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

Comparative results with existing representative algorithms. by Yan Qin (118276)

Strong negative correlation between the precision of algorithms and the evolutionary distance from the training data. by Sven B. Gould (12237287)

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

The speed of anchor-based algorithms. by Olarewaju Mubashiru Lawal (14710251)

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

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.…”

Dynamic window based median filtering algorithm. by Li Yuan (102305)

“…The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

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)