A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. by Boluwatife Ikwunne (22238697)

Linear interpolation dimension expansion algorithm flowchart. by Yuhang Zhang (3144870)

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

Convergence curves of different algorithms on the benchmark functions. by Aihua Guo (13267712)

Graph of convergence of PSO algorithm fitness function. by Mohammed F. Elnaggar (18297954)

Function graph and algorithm iterative graph. by WanRu Zhao (18980374)

Subjects:

Values of the fitness function for linear kernel LS-SVM algorithm run on various companies’ datasets. by Bitanu Chatterjee (15295261)

“…<p>Values of the fitness function for linear kernel LS-SVM algorithm run on various companies’ datasets.…”

Results obtained by different algorithms on 23 benchmark functions. by Yuqi Xiong (12343771)

Subjects:

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

“…(D) Heatmap of the performance of the 3-group Metropolis under increasing intra-group heterogeneity (<i>σ</i>_<i>τ</i>) and inter-group promiscuity (<i>ξ</i>) of species, to show the limitation of linear-regression-based algorithms under fuzzy ground truth groupings. …”

Non-Iterative Linear Maximization Algorithm by Gerardo L. Febres (4455913)

“…<div>Explicit C sharp code for the Linear Optimization algorithm based on active constraints recognition. …”

Convergence curves obtained by different algorithms on 23 benchmark functions. by Yuqi Xiong (12343771)

Subjects:

Different algorithms in 23 benchmark functions to obtain partial boxplot. by Yuqi Xiong (12343771)

Subjects:

Results obtained by different algorithms on CEC2022 benchmark functions. by Yuqi Xiong (12343771)

Subjects:

Average CPU time (s) of all the referenced algorithm on benchmark function. by Aihua Guo (13267712)

Drug Release Nanoparticle System Design: Data Set Compilation and Machine Learning Modeling by Shan He (121220)

Subjects:

V-shaped piecewise linear function. by Žiga Pušnik (18806074)

Parameters of trained algorithms. by Swathi Anil (17382903)

Subjects:

Convergence curves obtained by different algorithms on CEC2022 benchmark functions. by Yuqi Xiong (12343771)

Subjects:

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

“…<p>We compare the performance of the linear-regression-based Metropolis algorithm to a more expressive version that includes quadratic terms. …”

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: