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Direct Inference on Admissible Sets (Diona)

Lorenzo Sabug et al.
arXiv CS · Papers
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deep-learningmachine-learningneural-networks
We propose a new regression method named Direct Inference on Admissible Sets (Diona) that directly uses samples to estimate the state and its derivatives at a query point, along with their admissible bounds, without long global training. By casting the values and derivatives at the query and neighbo
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