We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...
Periodic data backup is a system administration requirement that has changed as wireless machines have altered the fundamental structure of networks. These changes necessitate a c...
Gregory Pluta, Larry Brumbaugh, William Yurcik, Jo...
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Psychological studies on teamwork have shown that an effective team often can anticipate information needs of teammates based on a shared mental model. Existing multi-agent models...
John Yen, Jianwen Yin, Thomas R. Ioerger, Michael ...
Data mining is the process of deriving knowledge from data. The architecture of a data mining system plays a significant role in the efficiency with which data is mined. It is pro...