Filtered importance sampling with support vector margin: A powerful method for structural reliability analysis

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Reliability in composites – a selective review and survey of current development (2012, methodology): “Special attention require SUBSET Simulation [86] and (2)SMART algorithms [87], which confer large efficiency as compared to crude MCM, overall for small failure probabilities and high dimension problems [88].”
Support vector machine in structural reliability analysis: A review (2023, unknown): “The early applications of SVM for SRA [18–21] treated reliability analysis as a classification problem.”
Sequential design of computer experiments for the estimation of a probability of failure (2010, result): “This point of view also underlies the work in structural reliability of Hurtado (2004, 2007), Deheeger and Lemaire (2007), Deheeger (2008), and more recently Echard et al. (2010a,b).”
A survey on approaches for reliability-based optimization (2010, methodology): “An important feature of SVM is their flexibility and adaptability for approximating the exact model when compared to the RS approach (Hurtado, 2004, 2007).”