Topic model for graph mining based on hierarchical Dirichlet process
From MaRDI portal
Publication:5880028
DOI10.1080/24754269.2019.1593098OpenAlexW2925473130MaRDI QIDQ5880028
Xianyi Wu, Hai-Bin Zhang, Shang Huating
Publication date: 7 March 2023
Published in: Statistical Theory and Related Fields (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/24754269.2019.1593098
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- A tutorial on Bayesian nonparametric models
- Ferguson distributions via Polya urn schemes
- An introduction to variational methods for graphical models
- A Bayesian analysis of some nonparametric problems
- Hierarchical Dirichlet Processes
- Graphical Models, Exponential Families, and Variational Inference
- 10.1162/jmlr.2003.3.4-5.993
- Poisson–Dirichlet and GEM Invariant Distributions for Split-and-Merge Transformations of an Interval Partition
- Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model
This page was built for publication: Topic model for graph mining based on hierarchical Dirichlet process