Active learning polynomial chaos expansion for reliability analysis by maximizing expected indicator function prediction error

Cites Work

Title not available (Why is that?)
Reweighted \(\ell_1\) minimization method for stochastic elliptic differential equations
A weighted \(\ell_1\)-minimization approach for sparse polynomial chaos expansions
Compressive sampling of polynomial chaos expansions: convergence analysis and sampling strategies
A new sparse grid based method for uncertainty propagation
A hybrid spectral and metamodeling approach for the stochastic finite element analysis of structural dynamic systems
Efficient sampling methods for global reliability sensitivity analysis
Reliability sensitivity by method of moments
Adaptive sparse polynomial chaos expansion based on least angle regression
A robust and efficient stepwise regression method for building sparse polynomial chaos expansions
Sparse pseudospectral approximation method
Accelerated subset simulation with neural networks for reliability analysis
SAMBA: sparse approximation of moment-based arbitrary polynomial chaos
A new surrogate modeling technique combining Kriging and polynomial chaos expansions - application to uncertainty analysis in computational dosimetry
Enhancing \(\ell_1\)-minimization estimates of polynomial chaos expansions using basis selection
An adaptive least-squares global sensitivity method and application to a plasma-coupled combustion prediction with parametric correlation
Efficient uncertainty quantification of stochastic CFD problems using sparse polynomial chaos and compressed sensing
Uncertainty propagation of p-boxes using sparse polynomial chaos expansions
Sparse polynomial chaos expansions via compressed sensing and D-optimal design
A new learning function for kriging and its applications to solve reliability problems in engineering
Multi-level multi-fidelity sparse polynomial chaos expansion based on Gaussian process regression
Probability and convex set hybrid reliability analysis based on active learning kriging model
Global sensitivity analysis using support vector regression
Efficient reliability analysis based on adaptive sequential sampling design and cross-validation
Bayesian sparse polynomial chaos expansion for global sensitivity analysis
An efficient multifidelity \(\ell_1\)-minimization method for sparse polynomial chaos
Efficient structural reliability analysis method based on advanced kriging model
An efficient reliability method combining adaptive importance sampling and kriging metamodel
Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation
Sparse grid collocation schemes for stochastic natural convection problems
Multifidelity importance sampling
A gradient enhanced \(\ell_{1}\)-minimization for sparse approximation of polynomial chaos expansions
An adaptive multi-element generalized polynomial chaos method for stochastic differential equations
A non-intrusive model reduction approach for polynomial chaos expansion using proper orthogonal decomposition
General multi-dimensional probability integration by directional simulation
A Compressed Sensing Approach for Partial Differential Equations with Random Input Data
Adaptive Generalized Polynomial Chaos for Nonlinear Random Oscillators
SURROGATE MODELING FOR STOCHASTIC DYNAMICAL SYSTEMS BY COMBINING NONLINEAR AUTOREGRESSIVE WITH EXOGENOUS INPUT MODELS AND POLYNOMIAL CHAOS EXPANSIONS
Adaptive greedy approximations

This page was built for publication: Active learning polynomial chaos expansion for reliability analysis by maximizing expected indicator function prediction error

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6553474)