37 search results - page 4 / 8 » Hierarchical Dirichlet model for document classification |
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
Some models of textual corpora employ text generation methods involving n-gram statistics, while others use latent topic variables inferred using the "bag-of-words" assu...
ICML
2010
IEEE
13 years 12 months ago
2010
IEEE
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...
SIGIR
2008
ACM
13 years 10 months ago
2008
ACM
The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
Supervised topic models utilize document's side information for discovering predictive low dimensional representations of documents; and existing models apply likelihoodbased...
EMNLP
2008
14 years 9 days ago
2008
Previously topic models such as PLSI (Probabilistic Latent Semantic Indexing) and LDA (Latent Dirichlet Allocation) were developed for modeling the contents of plain texts. Recent...