5 search results - page 1 / 1 » Relative Performance Guarantees for Approximate Inference in... |
92
Voted
NIPS
2008
14 years 11 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
14 years 11 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 ...
92
Voted
DAWAK
2008
Springer
14 years 11 months ago
2008
Springer
Analyzing the author and topic relations in email corpus is an important issue in both social network analysis and text mining. The AuthorTopic model is a statistical model that id...
ECIR
2009
Springer
15 years 6 months ago
2009
Springer
The aim of query-based sampling is to obtain a sufficient, representative sample of an underlying (text) collection. Current measures for assessing sample quality are too coarse gr...
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...