Abstract: Time-domain parametric algorithms experience estimation bias in the presence of colored noise when the AutoRegressive (AR) parametric model is used. On the other hand, the AutoRegressive ...
Abstract: Accurate and robust human motion estimation is essential for enabling effective electromyography (EMG) signal-driven neural-machine interfaces in daily activities. Variation in loading ...
Many instrumental variables applications specify a single Bernoulli treatment. But instruments may change outcomes through multiple pathways or by varying treatment intensity. Lottery instruments that ...
Tasks enabled by data contribution estimation (DCE) aid model improvement through data improvement. While benchmark DCE evaluation tasks show application across many ML domains, DCE has limited ...
The ice in a domestic freezer is remarkably different from the single crystals that form in snow clouds, or even those formed on a frozen pond. As temperatures drop, ice crystals can grow in a variety ...
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