Two effective variance-reduction techniques for estimating probabilities and quantiles in the tails of bootstrap distributions--importance sampling and concomitants of order statistics--are based on ...

This is a preview. Log in through your library . Abstract In some applications linear approximations to non-linear models are desirable. They bring the benefits of computational simplicity and access ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials.

UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...

Sometimes, it’s easy for a computer to predict the future. Simple phenomena, such as how sap flows down a tree trunk, are straightforward and can be captured in a few lines of code using what ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...