Efficient representations and solutions for large decision problems with continuous and discrete variables are among the most important challenges faced by the designers of automa...
Branislav Kveton, Milos Hauskrecht, Carlos Guestri...
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
: In this paper we describe the advantages of a model-based approach to embedded component middleware. Component infrastructures such as Enterprise JavaBeans, Microsoft’s COM+ an...
A rather recent approach in programming parallel and distributed systems is that of coordination models and languages. Coordination programming enjoys a number of advantages such a...
Emerging database application domains demand not only new functionality but also high performance. To satisfy these two requirements, the Volcano project provides efficient, exten...