A fundamental problem in wireless networks is to develop communication protocols that achieve high throughput in the face of noise, interference, and fading, all of which vary wit...
Jonathan Perry, Peter Iannucci, Kermin Fleming, Ha...
Hardware signatures have been recently proposed as an efficient mechanism to detect conflicts amongst concurrently running transactions in transactional memory systems (e.g., Bulk...
This paper proposes a robust estimation and validation framework for characterizing local structures in a positive multi-variate continuous function approximated by a Gaussian-base...
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...