Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
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...
This paper describes the architecture and implementation of a mobile IP system. It allows mobile hosts to roam between cells implemented with 2-Mbps radio base stations, while mai...
Trevor Blackwell, Kee Chan, Koling Chang, Thomas C...
The vision of the Smart Grid includes the creation of intelligent electricity supply networks to allow efficient use of energy resources, reduce carbon emissions and are robust to...
Perukrishnen Vytelingum, Sarvapali D. Ramchurn, Th...