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...
Nowadays, robots have to face very complex tasks, often requiring collaboration between several individuals. As a consequence, robotics can be considered one of the most suitable ...
Antonio Chella, Massimo Cossentino, Ignazio Infant...
Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...
In this paper, we present a Grid computing platform that provides experimental scientists and analysts with access to computational simulations and knowledge databases hosted in s...
Xingchen Chu, Andrew Lonie, Peter Harris, S. Randa...
As clinical trials and medical population studies grow in size and complexity, a computational infrastructure that can underpin such studies is highly desirable. This should addre...