In this work, we present a general method for approximating nonlinear transformations of Gaussian mixture random variables. It is based on transforming the individual Gaussians wi...
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Background: With next-generation sequencing technologies, experiments that were considered prohibitive only a few years ago are now possible. However, while these technologies hav...
Osvaldo Zagordi, Arnab Bhattacharya, Nicholas Erik...
RTL power macromodeling is a mature research topic with a variety of equation and table-based approaches. Despite its maturity, macromodeling is not yet widely accepted as an indu...
Felipe Klein, Guido Araujo, Rodolfo Azevedo, Rober...
Sampling inequalities give a precise formulation of the fact that a differentiable function cannot attain large values, if its derivatives are bounded and if it is small on a suff...