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,...
In this paper we focus on the problem of how infinite belief hierarchies can be represented and reasoned with in a computationally tractable way. When modeling nested beliefs one ...
This paper investigates the computational complexity of a fundamental problem in multi-agent systems: given an environment together with a specification of some task, can we const...
The recent emergence of clouds is making the vision of utility computing realizable, i.e. computing resources and services can be delivered, utilized, and paid for as utilities su...
Hadoop is a reference software framework supporting the Map/Reduce programming model. It relies on the Hadoop Distributed File System (HDFS) as its primary storage system. Althoug...