We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...
Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, ...
Abstract. Hierarchical and recursive state machines are suitable abstract models for many software systems. In this paper we extend a model recently introduced in literature, by al...
Salvatore La Torre, Margherita Napoli, Mimmo Paren...
With the explosive growth of proteomic and expression data of homologous genes, it becomes necessary to explore new methods to visualize and analyze related gene expression data t...
Li Jin, Karl V. Steiner, Carl J. Schmidt, Keith...
Components provide an easy to use programming paradigm allowing for better re-usability of application code. In the context of distributed programming, autonomous hierarchical com...