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Learning topic models by belief propagation
Jia Zeng
*
,
Kwok Wai Cheung
,
Jiming Liu
*
Corresponding author for this work
Department of Computer Science
Research output
:
Contribution to journal
›
Journal article
›
peer-review
51
Citations (Scopus)
Overview
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Dive into the research topics of 'Learning topic models by belief propagation'. Together they form a unique fingerprint.
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Keyphrases
Latent Dirichlet Allocation
100%
Belief Propagation
100%
Belief Propagation Algorithm
40%
Approximate Inference
40%
Factor Graph
40%
Computer Vision
20%
Parameter Estimation
20%
Graph Representation
20%
Computational Biology
20%
Text Mining
20%
Collapsed Gibbs Sampling
20%
Relational Topic Model
20%
How to Learn
20%
Inference Methods
20%
Loopy Belief Propagation
20%
Hierarchical Bayesian Model
20%
Propagation-based
20%
Document Datasets
20%
Probabilistic Topic Modeling
20%
Variational Bayes
20%
Author-topic Model
20%
Computer Science
Latent Dirichlet Allocation
100%
Belief Propagation
100%
Factor Graph
40%
Propagation Algorithm
40%
Experimental Result
20%
Text Mining
20%
Gibbs Free Energy
20%
Computer Vision
20%
Parameter Estimation
20%
Inference Method
20%
Topic Modeling
20%
Graph Representation
20%
Hierarchical Bayesian Model
20%
Engineering
Dirichlet
100%
Belief Propagation
100%
Experimental Result
20%
Computervision
20%
Gibbs Free Energy
20%
Bayesian Model
20%
Parameter Estimation
20%