We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
This paper discusses ongoing research on scientific workflows at the Institute of Computing, University of Campinas (IC - UNICAMP) Brazil. Our projects with bio-scientists have le...
Claudia Bauzer Medeiros, José de Jesús Pérez Al...
Online reviews in which users publish detailed commentary about their experiences and opinions with products, services, or events are extremely valuable to users who rely on them ...
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...