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...
— A new standpoint on financial time series, without the use of any mathematical model and of probabilistic tools, yields not only a rigorous approach of trends and volatility, ...
Resource sharing computing is a project that realizes high performance computing by utilizing the resources of peers that are connected to the Internet. Resource sharing computing ...
The automatic allocation of enterprise workload to resources can be enhanced by being able to make `whatif' response time predictions, whilst different allocations are being c...
David A. Bacigalupo, Jano van Hemert, Asif Usmani,...
Time/utility function time constraints (or TUFs) and utility accrual (UA) scheduling optimality criteria, constitute, arguably, the most effective and broadest approach for adapti...