Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
System administrators regularly use the top utility for understanding the resource consumption of the processes running on UNIX computers. Top provides an accurate and real-time d...
One major issue in designing image processors is to design a memory system that supports parallel access with a simple interconnection network. This paper presents a design method...
In a blog network, there are many relations such as comment, trackback, and so on. We consider that if the relations are related to user’s reading activity, we can extract useful...
This paper presents a generic methodology to transform a protocol resilient to process crashes into one resilient to arbitrary failures in the case where processes run the same te...