The perceived advantages of distributed systems, such as increased reliability and availability, are o set by the increased complexity of developing such applications. The develop...
Peer-to-Peer systems are based on the concept of resources localization and mutualization in dynamic context. In specific environment such as mobile networks, characterized by high...
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
As computing systems of all types grow in power and complexity, it is common to want to simultaneously execute processes with different timeliness constraints. Many systems use CP...