47 search results - page 3 / 10 » Bayesian Document Generative Model with Explicit Multiple To... |
AI
2008
Springer
13 years 6 months ago
2008
Springer
This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...
UAI
2008
13 years 6 months ago
2008
Latent topic models have been successfully applied as an unsupervised topic discovery technique in large document collections. With the proliferation of hypertext document collect...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
to appear in Proc. IEEE International Conference on Computer Vision (ICCV), 2005 Bayesian methods have been extensively used in various applications. However, there are two intrin...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
The four-level pachinko allocation model (PAM) (Li & McCallum, 2006) represents correlations among topics using a DAG structure. It does not, however, represent a nested hiera...
ICML
2009
IEEE
13 years 11 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...