Data and code resources. by Sam Hall-McMaster (10343795)

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Data & code. by Mingming Li (502877)

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Algorithm parameter settings employed in the experiments on simulated data. by Liyan Sun (760586)

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The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. …”

The algorithm of the AWGE-ESPCA model. by Rui Miao (1592461)

data_codes.rar by Zhe Li (22011704)

Code and data. by Shangyang Jin (21772466)

“…This strategy combines the design of experiments (DOE), genetic algorithm (GA), and NLPQL algorithm, which is referred to as the DGN method. …”

The model successfully identified the motion structure in experiments I and II. by Elnaz Nemati (21402730)

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Data and code used in this article. by Yazhen Zhu (3595430)

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Individual and shared motion in a random dot kinematogram, experiment III. by Elnaz Nemati (21402730)

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Classical Predictive Coding for motion processing. by Elnaz Nemati (21402730)

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Effects of noise and historical window duration on the time to convergence of model (experiment III). by Elnaz Nemati (21402730)

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ATF-DF-WA Algorithm Experimental Code by jinhao zhong (20616116)

“…<p dir="ltr">The provided code files serve the following purposes:</p><ul><li><b>Preprocess.py</b> – This script handles text preprocessing tasks, such as cleaning and preparing raw text data for further processing.…”

data_code.zip by Mengmeng Gong (20129994)

“…In this study, we conduct an in-depth investigation of a novel adaptive covariance inflation algorithm (t-X) within the framework of an observation system simulation experiment (OSSE) based on anintermediate coupled model (ICM) and the Ensemble Adjustment KF(EAKF), aiming to develop a joint approach for optimizing both model parameters and initial fields simultaneously. …”

Effects of noise level and surround suppression threshold on model convergence time in the RDK task, experiment III. by Elnaz Nemati (21402730)

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Greedy optimization algorithm. by Alexis Bénichou (19832361)

Task paradigm and classification algorithm. by Alexander P. Rockhill (6053618)

Reported MATLAB data code. by Jotham Josephat Kimondo (19139409)

“…Validation with standard rheometer data showed reasonable agreement in elasticity, with percent differences of 2.1% for the hard and 13.3% for the soft phantoms. …”

Performance of machine learning algorithms. by Wenxue Liu (6877754)

Model comparison between our model-free algorithm (here MF*) and SARSA. by Carlos A. Velázquez-Vargas (19751567)

“…We evaluated the models in the data of Experiment 1 and Experiment 2 using AIC and BIC differences and testing if they were different from zero using the Wilcoxon signed-rank test. …”