The analysis, and eventual approval or rejection, of new enterprise information technology (IT) initiatives often proceeds on the basis of informal estimates of return on investme...
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 explores integrating self-tuning updates and sequential consistency to enable transparent replication of large-scale information dissemination services. We focus our at...
In human face-to-face interaction, participants can rely on a number of audio-visual information for interpreting interlocutors' communicative intentions, such information st...
The Open Hypermedia model is based upon the separation of hypertext links from documents and treats them as separate entities. Distributed link services take this approach and imp...