The formulation of planning as heuristic search with heuristics derived from problem representations has turned out to be a fruitful approach for classical planning. In this paper...
Real-world distributed systems and networks are often unreliable and subject to random failures of its components. Such a stochastic behavior affects adversely the complexity of o...
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,...
We present a novel peer-to-peer backup technique that allows computers connected to the Internet to back up their data cooperatively: Each computer has a set of partner computers,...
Mark Lillibridge, Sameh Elnikety, Andrew Birrell, ...
An increasing number of applications are being developed using distributed object computing middleware, such as CORBA. Many of these applications require the underlying middleware...
Balachandran Natarajan, Aniruddha S. Gokhale, Shal...