8 search results - page 1 / 2 » Incorporating domain knowledge into topic modeling via Diric... |
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
Users of topic modeling methods often have knowledge about the composition of words that should have high or low probability in various topics. We incorporate such domain knowledg...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
NIPS
2003
13 years 6 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...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
We apply nonparametric hierarchical Bayesian modelling to relational learning. In a hierarchical Bayesian approach, model parameters can be "personalized", i.e., owned b...