Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

Algorithm. by Daniel Sanchez-Taltavull (11654630)

Convergence of the numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm. by Martin Dodek (20623832)

Subjects:

Flowchart for Algorithm 2. by Sagvan Y. Musa (17797611)

Performance of tpopt function for finding <i>T</i>-optimal designs. by Ray-Bing Chen (700703)

One iteration of the NSGA-II algorithm. by Erick Axel Padilla-García (16839233)

Non-converging numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm. by Martin Dodek (20623832)

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Piecewise linear charging function with 2 pieces. by Fengjie Fu (7314347)

Subjects: “…Lagrangian relaxation algorithm…”

The comparison of serial and parallel runtime (s) for the four sub-functions. by Yongfei Wang (608480)

Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms. by Yao Peng (1928524)

“…<p>Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.…”

Workflow of the TITR algorithm. by Bradley Crone (19346873)

Effect of model hyperparameters on decision function. by Bernhard Vennemann (7434353)

Algorithm diagnostic accuracy comparison chart. by Bowen Li (200859)

Recursive attention function and loss function change. by Wang Linfeng (17102068)

<i>K</i>-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function by Jicai Liu (11419050)

“…<p>We propose a novel partitioning clustering procedure based on the cumulative distribution function (CDF), called <i>K</i>-CDFs. For univariate data, the <i>K</i>-CDFs represent the cluster centers by empirical CDFs and assign each observation to the closest center measured by the Cram<math><mrow><mi>e</mi><mo>´</mo></mrow></math>r-von Mises distance. …”

Table_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.DOCX by Shakiru A. Alaka (9302864)

“…We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment.…”

Algorithm framework. by Zongjin Li (38031)

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Reward function related parameters. by Honglei Pang (22693724)

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Table_1_Clinical Functional Seizure Score (CFSS): a simple algorithm for clinicians to suspect functional seizures.DOCX by Mohammad Dashtkoohi (15417886)

Algorithm control flow chart. by Guangliang Li (194029)