In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
Anton J. Kleywegt, Alexander Shapiro, Tito Homem-d...
Abstract--We adapt methods originally developed in information and coding theory to solve some testing problems. The efficiency of two-stage pool testing of items is characterized ...
Physical Unclonable Functions (PUFs) are physical objects that are unique, practically unclonable and that behave like a random function when subjected to a challenge. Their use h...
A study of Google’s data center revealed that the incidence of main memory errors is surprisingly high. These errors can lead to application and system corruption, impacting reli...
In this paper, we propose a novel approach to automatic generation of aspect-oriented summaries from multiple documents. We first develop an event-aspect LDA model to cluster sen...