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Bayesian Target-Vector Optimization for Efficient Parameter Reconstruction
We present a Bayesian target-vector optimization scheme with improved performance over previous developments, that considers all $K$ contributions of the model function and that is specifically suited for parameter reconstruction problems which are often based on hundreds of observations.
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