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

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

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

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

الموضوعات:

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

الموضوعات:

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

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Bayesian optimization results of key hyperparameters. حسب Hang Zhao (143592)

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Optimization process of BO algorithm. حسب Hoa Thi Trinh (20347834)

"…The study used the largest database of RC walls to date, consisting of 1057 samples with various cross-sectional shapes. Bayesian optimization (BO) algorithms, including BO—Gaussian Process, BO—Random Forest, and Random Search methods, were used to refine the XGBoost model architecture. …"

Physics-Informed Bayesian Optimization for Conformational Ensemble Augmentation حسب Ivan A. Bespalov (21491561)

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Physics-Informed Bayesian Optimization for Conformational Ensemble Augmentation حسب Ivan A. Bespalov (21491561)

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Physics-Informed Bayesian Optimization for Conformational Ensemble Augmentation حسب Ivan A. Bespalov (21491561)

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Comparison of different optimization algorithms. حسب Hang Zhao (143592)

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G R code algorithm. حسب R. Sakthivel (2589547)

"…The algorithm was developed and coded in Verilog and simulated using Modelsim. …"

Code and data. حسب Shangyang Jin (21772466)

Accelerated Discovery of Solid-State Electrolytes Using Bayesian Optimization حسب Sherif Abdulkader Tawfik (3820180)

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

Maple code for algorithm 3. حسب Peter Thompson (165468)

Data and code availability: Machine Learning on systematically curated data reveals key determinants of magnetic hyperthermia performance حسب Edgar Vega (21981590)

"…Twelve machine learning models were evaluated and refined using Bayesian hyperparameter optimization. The CatBoost algorithm emerged as the most effective model, achieving the lowest mean absolute error (20.92 W/g) and root mean squared error (39.41 W/g), along with a high coefficient of determination (R² = 0.98). …"

BeeSwarm-MH Sampling for Bayesian Inference of GL Equation Parameters حسب Lipu Zhang (21475718)

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code&data حسب Liyuan Liu (18298084)

The metro zone algorithm pseudo-code. حسب Sarah Alhumoud (22258183)