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kernel estimator
kernel estimator
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New methods for estimating integral curves on Riemannian manifolds proposed
This paper introduces novel methods for estimating integral curves of unknown vector fields on Riemannian manifolds. It proposes two sampling strategies: passive kernel estimation using existing data and active sampling…
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Researchers introduce pliable rejection sampling using kernel estimators
Researchers have introduced pliable rejection sampling (PRS), a novel method designed to improve the efficiency of sampling from complex probability distributions. Traditional rejection sampling methods often suffer fro…