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bayesian optimization » based optimization (Expand Search)
point optimization » joint optimization (Expand Search), policy optimization (Expand Search), cost optimization (Expand Search)
data bayesian » a bayesian (Expand Search), art bayesian (Expand Search)
sample point » sample points (Expand Search), sampling point (Expand Search), single point (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data sample » data samples (Expand Search)
bayesian optimization » based optimization (Expand Search)
point optimization » joint optimization (Expand Search), policy optimization (Expand Search), cost optimization (Expand Search)
data bayesian » a bayesian (Expand Search), art bayesian (Expand Search)
sample point » sample points (Expand Search), sampling point (Expand Search), single point (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data sample » data samples (Expand Search)
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Impact of decomposition dimension and iteration times on mining performance.
Published 2023Subjects: -
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Data Sheet 1_An autonomous navigation method for orchard mobile robots based on octree 3D point cloud optimization.docx
Published 2025“…The experimental results show that: 1) The overall number of point cloud data points in the map was reduced by approximately 76.32%, while important features, including tree morphology, trellis structure, and road surface information, were fully preserved. 2) When different octree node resolutions were applied, the improved RRT* algorithm demonstrated significant improvements in path generation time, sampling point utilization, path length, and curvature. …”
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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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Performance of different optimization methods for increased number of parameters per subset.
Published 2022“…<p>The light blue dots indicate the performance of algorithms for each subset of parameters. The dark blue curve shows the moving average of the samples with window of ±20 points (Filtered Data). …”
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Molecular replacement (MR) solution and electron density maps of HEWL at various input CTDDs.
Published 2025Subjects: -
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<b>Geographic-dependent Parameter Optimization based on A-4DEnVar: Simulation with an </b><b>Idealized 2-D </b><b>Coupled Model</b>
Published 2025“…In this study, a novel dynamic independent point (DIP) scheme combined with a sample-space variable replacement algorithm, which enhances the convexity of the cost function, reduces computational dimensionality, and further expands the parameter subspace, is introduced to A-4DEnVar. …”
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Gaining Outlier Resistance With Progressive Quantiles: Fast Algorithms and Theoretical Studies
Published 2023“…In particular, a new technique is proposed to alleviate the requirement on the starting point such that on regular datasets, the number of data resamplings can be substantially reduced. …”
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