This paper describes our ongoing work developing the Stanford Stream Data Manager (STREAM), a system for executing continuous queries over multiple continuous data streams. The ST...
Rajeev Motwani, Jennifer Widom, Arvind Arasu, Bria...
Approximate linear programming (ALP) has emerged recently as one of the most promising methods for solving complex factored MDPs with finite state spaces. In this work we show th...
To maintain and understand large applications, it is crucial to know their architecture. The first problem is that unlike classes and packages, architecture is not explicitly rep...
We have been developing robotic multi-agent systems for several years according to a well defined methodology (PASSI) obtaining good results, but day by day needs of a more versati...
Antonio Chella, Massimo Cossentino, Luca Sabatucci...
Content services such as content filtering and transcoding adapt contents to meet system requirements, display capacities, or user preferences. Data security in such a framework is...