We continue our study of online prediction of the labelling of a graph. We show a fundamental limitation of Laplacian-based algorithms: if the graph has a large diameter then the ...
Approximate inference in dynamic systems is the problem of estimating the state of the system given a sequence of actions and partial observations. High precision estimation is fu...
This paper considers online stochastic optimization problems where time constraints severely limit the number of offline optimizations which can be performed at decision time and/...
Despite the hype surrounding enterprise architectures, they have delivered little on their promise. In this paper, we argue that enterprise architectures built using component-bas...
The fundamental challenge of e-commerce is enabling companies to do business with one another across a network, despite different business processes and computer systems. Traditio...