We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
The correct and ecient management of data in distributed databases or mobile computing environments is dicult. Communication disruptions within such systems render the execution o...
Paul A. Jensen, Monica Brockmeyer, Nandit Soparkar
Abstract— Cache Partitioning has been proposed as an interesting alternative to traditional eviction policies of shared cache levels in modern CMP architectures: throughput is im...
Here, we present a family of time series with a simple growth constraint. This family can be the basis of a model to apply to emerging computation in business and micro-economy wh...
In most real-world problems, we either know little about the problems or the problems are too complex to have a clear vision on how to decompose them by hand. Thus, it is usually d...
Minh Ha Nguyen, Hussein A. Abbass, Robert I. McKay