Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
In recent years, the data management community has begun to consider situations in which data access is closely tied to network routing and distributed acquisition: examples includ...
Mengmeng Liu, Nicholas E. Taylor, Wenchao Zhou, Za...
Overlay multicast networks are used by service providers to distribute contents such as web pages, streaming multimedia data, or security updates to a large number of users. Howeve...
This paper describes recent work on a large-scale, interactive theater performance entitled Schwelle as a platform to pose critical questions around the conception, design and imp...
Christopher L. Salter, Marije A. J. Baalman, Danie...
In this paper, we describe a database query system that provides visual relevance feedback in querying large databases. The goal of our system is to support the query specificati...