We study the implication that various timeliness and failure detector assumptions have on the performance of consensus algorithms that exploit them. We present a general framework...
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
New approaches are considered for performance enhancement of discrete-event simulation software. Instead of taking a purely algorithmic analysis view, we supplement algorithmic co...
Alex Bahouth, Steven Crites, Norman Matloff, Todd ...
An overview of the classification-based least squares trained filters on picture quality improvement algorithms is presented. For each algorithm, the training process is unique and...