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)

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. …”

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

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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.…”

Autonomous Robotic Mechanical Exfoliation of Two-Dimensional Semiconductors Combined with Bayesian Optimization by Fan Yang (1413)

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Autonomous Robotic Mechanical Exfoliation of Two-Dimensional Semiconductors Combined with Bayesian Optimization by Fan Yang (1413)

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Autonomous Robotic Mechanical Exfoliation of Two-Dimensional Semiconductors Combined with Bayesian Optimization by Fan Yang (1413)

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

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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. …”

Diabetes prediction using optimized machine learning algorithms with grid search and Bayesian optimization. by Muhammad Rizwan Khurshid (20613973)

“…<p>Diabetes prediction using optimized machine learning algorithms with grid search and Bayesian optimization.…”

Face recognition algorithm flow. by Na Lin (69470)

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Greedy optimization algorithm. by Alexis Bénichou (19832361)

Main steps and advantages of ASEF algorithm. by Na Lin (69470)

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Data & code. by Mingming Li (502877)

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Face recognition algorithm flow based on the PCA. by Na Lin (69470)

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Bayesian Optimization Methods for Nonlinear Model Calibration by Montana N. Carlozo (22175927)

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Bayesian Optimization Methods for Nonlinear Model Calibration by Montana N. Carlozo (22175927)

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Bayesian Optimization Methods for Nonlinear Model Calibration by Montana N. Carlozo (22175927)

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