Hierarchical probabilistic modeling of discrete data has emerged as a powerful tool for text analysis. Posterior inference in such models is intractable, and practitioners rely on...
Currently there are several approaches to machine translation (MT) based on different paradigms; e.g., phrasal, hierarchical and syntax-based. These three approaches yield similar...
Antti-Veikko I. Rosti, Necip Fazil Ayan, Bing Xian...
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
David Newman, Arthur Asuncion, Padhraic Smyth, Max...
The Unified Modeling Language (UML) statechart diagram is used for modeling the dynamic aspects of systems. The UML statechart diagrams include many concepts that are not present ...
We have developed a secure, collaborative, web-based electronic notebook (EN) designed to provide researchers and students with a means to record and share their primary research ...