23 search results - page 1 / 5 » Modeling hidden topics on document manifold |
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
AAAI
2010
13 years 5 months ago
2010
This paper presents the Topic-Aspect Model (TAM), a Bayesian mixture model which jointly discovers topics and aspects. We broadly define an aspect of a document as a characteristi...
ICML
2010
IEEE
13 years 4 months ago
2010
IEEE
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
FCSC
2010
13 years 1 months ago
2010
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...