Search alternatives:
based optimization » whale optimization (Expand Search)
task bayesian » a bayesian (Expand Search), art bayesian (Expand Search), pac bayesian (Expand Search)
primary data » primary care (Expand Search)
binary task » binary mask (Expand Search)
data based » data used (Expand Search)
based optimization » whale optimization (Expand Search)
task bayesian » a bayesian (Expand Search), art bayesian (Expand Search), pac bayesian (Expand Search)
primary data » primary care (Expand Search)
binary task » binary mask (Expand Search)
data based » data used (Expand Search)
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Table_4_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx
Published 2022“…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
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Table_2_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx
Published 2022“…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
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Table_6_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx
Published 2022“…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
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Table_10_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx
Published 2022“…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
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Table_3_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx
Published 2022“…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
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Models’ performance without optimization.
Published 2024“…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …”
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RNN performance comparison with/out optimization.
Published 2024“…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …”
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A portfolio selection model based on the knapsack problem under uncertainty
Published 2019“…The resulted model is converted into a parametric linear programming model in which the decision maker is able to determine the optimism threshold. Finally, a discrete firefly algorithm is designed to find the near optional solutions in large dimensions. …”
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Business priorities.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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Topology of 14-node communication network.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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Changes of risk value under different parameters.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”