Search algorithm performance comparison. by Zhaohui Du (414105)

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

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

Performance of algorithms compared to a smaller <i>RNN.</i> by Swathi Anil (17382903)

<i>p</i>-values of the Wilcoxon rank-sum test in terms of average of benchmark functions. by Bitanu Chatterjee (15295261)

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)

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Parameters of trained algorithms. by Swathi Anil (17382903)

Continuous Probability Distributions generated by the PIPE Algorithm by LUIS G.B. PINHO (14073372)

“…<div><p>Abstract We investigate the use of the Probabilistic Incremental Programming Evolution (PIPE) algorithm as a tool to construct continuous cumulative distribution functions to model given data sets. …”

Function <i>χ</i>_<i>opt</i> superimposed with the phase-field function indicating the channel geometry. by Martina Bukač (20161460)

Verification of the in-line PS function. by Raul Castañeda (13932971)

AIF and VOF derived features used to feed the machine learning algorithms. by Ezequiel de la Rosa (11361108)

Modeling with uniform <i>σ</i> values. by Giacomo Janson (8138517)

PS-UNet++ model structure. by Hao Wu (65943)

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Data_Sheet_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.PDF 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.…”

A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases by Maru Song (22593561)

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Posterior for parameter <i>θ</i> of the uniform toy model for different weights in the ABC distance function. by Jonathan U. Harrison (5447603)

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Posterior for parameters <i>θ</i> of the bimodal toy model for different weights in the ABC distance function. by Jonathan U. Harrison (5447603)

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Posteriors for parameter <i>θ</i> in the simple diffusion model for different weights in the ABC distance function. by Jonathan U. Harrison (5447603)

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Algorithm of the scale-free induced subgroup. by Takayuki Niizato (162226)

Autocorrelation functions <i>C</i>(<i>r</i>, <i>t</i>) as functions of the rescaled distance <i>r</i>/<i>R</i>(<i>t</i>) for several time points, where <i>R</i>(<i>t</i>) is determ... by Marc Durand (556746)