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Identification de système

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Deterministic error bounds for kernel-based learning techniques under bounded noise

Validating model-based data interpretation methods for quantification of reserve capacity

Neural network surrogate of QuaLiKiz using JET experimental data to populate training space

Physics-informed machine learning for reduced-order modeling of nonlinear problems

On Gaussian Process based Koopman Operator

Model-based Identification, Estimation, and Control for Large-scale Urban Road Networks

A note on efficient computation of privileged directions in modifier adaptation

Prediction Error–Based Parameter Estimation for Multi-Region MFD Networks

Physics-informed machine learning for reduced-order modeling of nonlinear problems

Learning Feature Maps of the Koopman Operator: A Subspace Viewpoint

On Gaussian Process based Koopman Operator

Model-based Identification, Estimation, and Control for Large-scale Urban Road Networks

A note on efficient computation of privileged directions in modifier adaptation

Deterministic error bounds for kernel-based learning techniques under bounded noise

Physics-informed machine learning for reduced-order modeling of nonlinear problems

Physics-informed machine learning for reduced-order modeling of nonlinear problems

Learning Feature Maps of the Koopman Operator: A Subspace Viewpoint

Prediction Error–Based Parameter Estimation for Multi-Region MFD Networks

Validating model-based data interpretation methods for quantification of reserve capacity

Neural network surrogate of QuaLiKiz using JET experimental data to populate training space