بدائل البحث:
design optimization » bayesian optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
data sampling » water sampling (توسيع البحث), data samples (توسيع البحث), data sample (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data based » data used (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
data sampling » water sampling (توسيع البحث), data samples (توسيع البحث), data sample (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data based » data used (توسيع البحث)
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AUW-CE Mining Algorithms & Dataset Hub
منشور في 2025"…Moreover, in response to the limitations of conventional cross-entropy methods for HUCPM, four core optimization strategies are designed: optimization of the initial probability distribution to guide the search direction, enhancement of sample diversity to prevent local convergence, dynamic adjustment of sample size to reduce redundant calculations, and incorporation of utility weights to improve the accuracy of probability updates. …"
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PANet network design.
منشور في 2025"…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
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Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
منشور في 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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BiFPN network design.
منشور في 2025"…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
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Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level
منشور في 2021"…We fill the gap by developing an iterative matching algorithm for the three-group setting. Our algorithm outperforms the nearest neighbor algorithm and is shown to produce matched samples with total distance no larger than twice the optimal distance. …"
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Accelerated Design for High-Entropy Alloys Based on Machine Learning and Multiobjective Optimization
منشور في 2023"…Notably, the <i>D</i> of three candidates have shown significant improvements compared to the samples with similar <i>H</i> in the original data sets, with increases of 135.8, 282.4, and 194.1% respectively. …"
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Accelerated Design for High-Entropy Alloys Based on Machine Learning and Multiobjective Optimization
منشور في 2023"…Notably, the <i>D</i> of three candidates have shown significant improvements compared to the samples with similar <i>H</i> in the original data sets, with increases of 135.8, 282.4, and 194.1% respectively. …"
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Code and data for Lambert and Ellner, "SDM meets eDNA: optimal sampling of environmental DNA to estimate species-environment relationships in stream networks", Ecography (2025)
منشور في 2025"…The code includes: (1) an iterative generalized least squares solution method for estimating model parameters, (2) a genetic algorithm for finding D-optimal sampling designs (i.e., the positioning of samples on a stream network that most accurately estimates species-environment relationships), and (3) generalized additive models for estimating the dependence of estimation accuracy on a stream network's topological and hydrologic properties.…"