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Found 3 papers, 1 papers with code
A Probabilistic Neural Twin for Treatment Planning in Peripheral Pulmonary Artery Stenosis
The substantial computational cost of high-fidelity models in numerical hemodynamics has, so far, relegated their use mainly to offline treatment planning.
Minimax Classification with 0-1 Loss and Performance Guarantees
We also present MRCs' finite-sample generalization bounds in terms of training size and smallest minimax risk, and show their competitive classification performance w. r. t.
Supervised classification via minimax probabilistic transformations
Conventional techniques for supervised classification constrain the classification rules considered and use surrogate losses for classification 0-1 loss.
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