Showing 4,601 - 4,620 results of 9,871 for search '(( elements method algorithm ) OR ((( data code algorithm ) OR ( data modelling algorithm ))))', query time: 0.47s Refine Results
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    Predictive Modeling of Yield Sooting Index Using Machine Learning with Uncertainty Estimation by Zied Hosni (21516040)

    Published 2025
    “…Remarkably, the genetic algorithm model outperformed the Gini importance model by effectively reducing autocorrelation among features, thereby enhancing the accuracy of predictions. …”
  14. 4614

    Ensemble modeling of aquatic plant invasions and economic cost analysis in China under climate change scenarios by Zixuan Feng (19756539)

    Published 2024
    “…Compared to single prediction models, ensemble models that integrate multiple algorithms provide more accurate forecasts. …”
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    Intelligent Diagnosis and Treatment Model Based on Clinical Data for Home Rehabilitation Management of Chronic Obstructive Pulmonary Disease by Bin Zhu (182882)

    Published 2025
    “…The outcomes indicate that the XGBoost algorithm has the highest accuracy in processing clinical structured data, while the random forest (RF) algorithm has the lowest accuracy in processing clinical structured data. …”
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    Model’s initial predictive performance (N = 7). by Dor Mizrahi (8399514)

    Published 2025
    “…The CatBoost algorithm was used for prediction, with a two-stage data pruning approach to enhance accuracy. …”
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    Gibbs Sampling using Anti-correlation Gaussian Data Augmentation, with Applications to L1-ball-type Models by Yu Zheng (2950)

    Published 2025
    “…Motivated to significantly accelerate the posterior computation, we propose a new data augmentation that leads to a fast block Gibbs sampling algorithm. …”
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    Sample size determination for multidimensional parameters and the A-optimal subsampling in a big data linear regression model by Sheng Zhang (111330)

    Published 2024
    “…<p>To efficiently approximate the least squares estimator (LSE) in a Big Data linear regression model using a subsampling approach, optimal sampling distributions were derived by minimizing the trace norm of the covariance matrix of a smooth function of the subsampling LSE. …”
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