100 search results - page 9 / 20 » Probabilistic Topic Models for Learning Terminological Ontol... |
ICDM
2007
IEEE
15 years 6 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...
125
Voted
AAAI
2010
14 years 9 months ago
2010
The latent topic model plays an important role in the unsupervised learning from a corpus, which provides a probabilistic interpretation of the corpus in terms of the latent topic...
96
Voted
CIKM
2008
Springer
15 years 1 months ago
2008
Springer
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
88
Voted
UAI
2008
15 years 1 months ago
2008
Latent topic models have been successfully applied as an unsupervised topic discovery technique in large document collections. With the proliferation of hypertext document collect...
120
Voted
PKDD
2010
Springer
14 years 10 months ago
2010
Springer
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...