AGP-MCS+D: An active learning reliability analysis method combining dependent Gaussian process and Monte Carlo simulation

Research article (Reliability Engineering & System Safety, 2023) · cited 33× · AI/ML
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AGP-MCS+D: An active learning reliability analysis method combining dependent Gaussian process and Monte Carlo simulation

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AGP-MCS+D: An active learning reliability analysis method combining dependent Gaussian process and Monte Carlo simulation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). AGP-MCS+D: An active learning reliability analysis method combining dependent Gaussian process and Monte Carlo simulation. Retrieved May 24, 2026, from https://4ort.xyz/entity/agp-mcs-d-an-active-learning-reliability-analysis-method-combining-dependent-gaussian-process-and-monte-carlo-simulation
MLA “AGP-MCS+D: An active learning reliability analysis method combining dependent Gaussian process and Monte Carlo simulation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/agp-mcs-d-an-active-learning-reliability-analysis-method-combining-dependent-gaussian-process-and-monte-carlo-simulation.
BibTeX @misc{4ortxyz_agp-mcs-d-an-active-learning-reliability-analysis-method-combining-dependent-gaussian-process-and-monte-carlo-simulation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AGP-MCS+D: An active learning reliability analysis method combining dependent Gaussian process and Monte Carlo simulation}}, year = {2026}, url = {https://4ort.xyz/entity/agp-mcs-d-an-active-learning-reliability-analysis-method-combining-dependent-gaussian-process-and-monte-carlo-simulation}, note = {Accessed: 2026-05-24}}
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