Search alternatives:
bayesian optimization » based optimization (Expand Search)
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search)
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binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
bayesian optimization » based optimization (Expand Search)
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search)
sample selection » sample collection (Expand Search)
binary large » binary image (Expand Search), binary edge (Expand Search)
large sample » large scale (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
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Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
Published 2025“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”
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Bayesian sequential design for sensitivity experiments with hybrid responses
Published 2023“…To deal with the problem of complex computation involved in searching for optimal designs, fast algorithms are presented using two strategies to approximate the optimal criterion, denoted as SI-optimal design and Bayesian D-optimal design, respectively. …”
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Modeling Pregnancy Outcomes Through Sequentially Nested Regression Models
Published 2022“…Our approach explicitly bridges the connections across nested outcomes through computationally easy algorithms and enjoys theoretical guarantee of estimation and variable selection. …”
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Example depiction of the autoML process.
Published 2024“…The final selected algorithm, combining a LightGBM (gradient boosting machine) model trained in each dataset, maintained high sensitivity and achieved 57% specificity in the retrospective validation test and 53% in the prospective study. …”
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Supplementary Material 8
Published 2025“…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…”