We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
This paper introduces the MREF framework for representing and correlating information at a higher semantic level than is possible with Web-based information systems today. The rol...
Authentication codes provide message integrity guarantees in an information theoretic sense within a symmetric key setting. Information theoretic bounds on the success probability...
Object-oriented analysis suggests semiformal usecase driven techniques for problem domain modeling from a computation independent viewpoint. The proposed approach called Topologic...