16 search results - page 2 / 4 » Memory bounded inference in topic models |
NIPS
2008
13 years 7 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...
NIPS
2007
13 years 7 months ago
2007
A wide variety of Dirichlet-multinomial ‘topic’ models have found interesting applications in recent years. While Gibbs sampling remains an important method of inference in su...
SEFM
2005
IEEE
13 years 11 months ago
2005
IEEE
Memory consumption policies provide a means to control resource usage on constrained devices, and play an important role in ensuring the overall quality of software systems, and i...
SYNTHESE
2010
13 years 4 months ago
2010
There exists a considerable body of work on epistemic logics for resource-bounded reasoners. In this paper, we concentrate on a less studied aspect of resource-bounded reasoning, n...
TCS
2010
13 years 4 months ago
2010
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model co...