76 search results - page 2 / 16 » Hierarchical Bayesian Modeling of Topics in Time-Stamped Doc... |
88
Voted
UAI
2008
14 years 11 months ago
2008
In this paper, we develop the continuous time dynamic topic model (cDTM). The cDTM is a dynamic topic model that uses Brownian motion to model the latent topics through a sequenti...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We propose a novel nonparametric Bayesian model, Dual Hierarchical Dirichlet Processes (Dual-HDP), for trajectory analysis and semantic region modeling in surveillance settings, i...
NIPS
2008
14 years 11 months ago
2008
We develop the syntactic topic model (STM), a nonparametric Bayesian model of parsed documents. The STM generates words that are both thematically and syntactically constrained, w...
ICML
2009
IEEE
15 years 4 months ago
2009
IEEE
Given a large-scale linked document collection, such as a collection of blog posts or a research literature archive, there are two fundamental problems that have generated a lot o...
103
Voted
NIPS
2001
14 years 11 months ago
2001
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...