We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
We propose a novel approach for statistical risk modeling of network attacks that lets an operator perform risk analysis using a data model and an impact model on top of an attack ...
Performance auditing is an online optimization strategy that empirically measures the effectiveness of an optimization on a particular code region. It has the potential to greatly...
Jeremy Lau, Matthew Arnold, Michael Hind, Brad Cal...
—With increasing spatial reuse of the radio spectrum, co-channel interference is becoming the dominant noise source and may severely degrade the communication performance of wire...
Kapil Gulati, Aditya Chopra, Brian L. Evans, Keith...
We propose gate level statistical simulation to bridge the gap between the most accurate Monte Carlo SPICE simulation and the most efficient circuit level statistical static timi...