61 search results - page 1 / 13 » Distributed Inference for Latent Dirichlet Allocation |
NIPS
2007
13 years 6 months ago
2007
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
ACL
2010
13 years 2 months ago
2010
The computation of selectional preferences, the admissible argument values for a relation, is a well-known NLP task with broad applicability. We present LDA-SP, which utilizes Lin...
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...
ICPR
2010
IEEE
13 years 3 months ago
2010
IEEE
Abstract—Following the trend of “segmentation for recognition”, we present 2LDA, a novel generative model to automatically segment an image in 2 segments, background and fore...
NIPS
2008
13 years 6 months ago
2008
Hierarchical probabilistic modeling of discrete data has emerged as a powerful tool for text analysis. Posterior inference in such models is intractable, and practitioners rely on...