The hierarchical Dirichlet process (HDP) is a Bayesian nonparametric mixed membership model--each data point is modeled with a collection of components of different proportions. T...
Sinead Williamson, Chong Wang, Katherine A. Heller...
When visualising datasets that are too large to be displayed in their entirity, interactive navigation is a common solution. However, instantaneous updates of the visualisation wh...
— This paper presents a graphical approach to model XML documents based on a Data Type Documentation called Graphical Notations-Data Type Documentation (GN-DTD). GN-DTD allows us...
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...