Latent tree models for hierarchical topic detection
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Publication:1680683
DOI10.1016/j.artint.2017.06.004zbMath1419.68087arXiv1605.06650OpenAlexW2962967218MaRDI QIDQ1680683
Leonard K. M. Poon, Peixian Chen, Tengfei Liu, Farhan Khawar, Zhourong Chen, Nevin Lianwen Zhang
Publication date: 16 November 2017
Published in: Artificial Intelligence (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1605.06650
probabilistic graphical modelstext analysishierarchical latent tree analysishierarchical topic detection
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- Model-based multidimensional clustering of categorical data
- Estimating the dimension of a model
- Greedy learning of latent tree models for multidimensional clustering
- On-Line Expectation–Maximization Algorithm for latent Data Models
- Hierarchical Dirichlet Processes
- The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
- Biological Sequence Analysis
- 10.1162/jmlr.2003.3.4-5.993
- On-line EM Algorithm for the Normalized Gaussian Network
- A Survey on Latent Tree Models and Applications
- Learning Latent Tree Graphical Models
- Elements of Information Theory
- Approximating discrete probability distributions with dependence trees
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