The mAP for all algorithms and 80% of the data used for training. by Mohammad Amin Fraiwan (20469541)

“…<p>The mAP for all algorithms and 80% of the data used for training.</p>…”

The mAP for all algorithms and 50% of the data used for training. by Mohammad Amin Fraiwan (20469541)

“…<p>The mAP for all algorithms and 50% of the data used for training.</p>…”

The mAP for all algorithms and 60% of the data used for training. by Mohammad Amin Fraiwan (20469541)

“…<p>The mAP for all algorithms and 60% of the data used for training.</p>…”

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. …”

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

“…In this manner high quality and common samples are randomly selected for training the classifier. Finally, to solve the issue of concept drift, EDAC designs and implements an ensemble classifier that uses a self-feedback strategy to determine the initial weight of the classifier by adjusting the weight of the sub-classifier according to the performance on the arrived data chunks. …”

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

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

Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)

Federated averaging algorithm. by Yan Qin (118276)

Training process of HFKG-RFE algorithm. by Chunjuan Li (7890182)

Subjects:

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

Feature importance comparison between the machine learning algorithms used in this study. by Sukanta Chakraborty (22693681)

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

“…The issue of overfitting is significantly resolved, unlike in the case of the Backpropagation Neural Network (BPNN), which is used as a benchmark for comparison. Overall, the proposed algorithm significantly improves data training accuracy and generalization performance.…”

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.</p>…”

DMTD algorithm. by Yunhu Huang (21402795)

Subjects:

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

Data used in "Material Classification System using Inductive Tactile Sensors and Machine Learning Algorithms" by Yuning Jiang (19758561)

Data augmentations used on the data during model training. by Henrik Mustonen (20378529)

Influence of hyperparameters on experimental results in IST algorithm. by Ke Zhang (115386)

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