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- W3157296050 abstract "In microwave device and circuit design, many simulations are often needed to find a set of designs that satisfy one or multiple specifications chosen by the designer upfront: the feasible region. A novel Bayesian active learning framework is presented to accurately identify the feasible region with a low number of simulations. The technique leverages on a stochastic model to obtain an efficient and automated procedure. A suitable application example validates the proposed technique and shows its effectiveness to rapidly obtain many suitable designs." @default.
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- W3157296050 date "2021-05-01" @default.
- W3157296050 modified "2023-09-27" @default.
- W3157296050 title "Bayesian active learning for multi‐objective feasible region identification in microwave devices" @default.
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- W3157296050 doi "https://doi.org/10.1049/ell2.12022" @default.
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