Traditional hardware error detection methods based on linear codes make assumptions about the typical or expected errors and faults and concentrate the detection power towards the ...
Konrad J. Kulikowski, Mark G. Karpovsky, Alexander...
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Abstract. Desktop grids use the free resources in Intranet and Internet environments for large-scale computation and storage. While desktop grids offer a high return on investment...
Derrick Kondo, Filipe Araujo, Paul Malecot, Patr&i...
This paper presents a study of the errors observed when an optical Gigabit Ethernet link is subject to attenuation. We use a set of purpose-built tools which allows us to examine t...
We present a method for automatically detecting errors in a manually marked corpus using anomaly detection. Anomaly detection is a method for determining which elements of a large...