A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...

We develop locally D-optimal designs for nonlinear models when the variance of the response is a function of its mean. Using the two-parameter Michaelis-Menten model as an example, we show that the ...

Journal of Agricultural, Biological, and Environmental Statistics, Vol. 18, No. 4 (December 2013), pp. 475-491 (17 pages) The population dynamics of cotton aphids is usually described by mechanistic ...

Where can I find the random parameter matrix in MLwiN? How do I use this to work out the residual ('unexplained') variance at each level? Variances and covariances are stored in column c1096. (See ...

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