76 search results - page 5 / 16 » Hierarchical Bayesian Modeling of Topics in Time-Stamped Doc... |
NIPS
2003
13 years 8 months ago
2003
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
JACM
2010
13 years 5 months ago
2010
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
COLING
2008
13 years 9 months ago
2008
This paper addresses the fundamental problem of document classification, and we focus attention on classification problems where the classes are mutually exclusive. In the course ...
SIGIR
2000
ACM
13 years 11 months ago
2000
ACM
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
ICDAR
2007
IEEE
14 years 1 months ago
2007
IEEE
We address document image classification by visual appearance. An image is represented by a variable-length list of visually salient features. A hierarchical Bayesian network is ...