We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
In this paper, we consider a special case of denial of service (DoS) attack in wireless mesh networks (WMNs) known as selective forwarding attack (a.k.a gray hole attacks). With su...
— Since the advent of distributed computer systems an active field of research has been the investigation of scheduling strategies for parallel applications. The common approach...
A pattern is a model or a template used to summarize and describe the behavior (or the trend) of a data having generally some recurrent events. Patterns have received a considerab...