Coupled Hierarchical Dirichlet Process Mixtures for Simultaneous Clustering and Topic Modeling-Reference-Cited by-同舟云学术

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Coupled Hierarchical Dirichlet Process Mixtures for Simultaneous Clustering and Topic Modeling

Published:2016 Issue: Volume: Page:230-246
ISSN:0302-9743
Container-title:Machine Learning and Knowledge Discovery in Databases
language:
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Author:

Shimosaka Masamichi,Tsukiji Takeshi,Tominaga Shoji,Tsubouchi Kota

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-319-46227-1_15

Reference25 articles.

1. Advances in Neural Information Processing Systems. http://books.nips.cc/. Accessed 15 Jan 2013

2. Nist Topic Detection and Tracking Corpus. http://projects.ldc.upenn.edu/TDT2/. Accessed 15 Jan 2013

3. Popular Text Data Sets in Matlab Format. http://www.cad.zju.edu.cn/home/dengcai/Data/TextData.html. Accessed 15 Jan 2013

4. Roweis, S.: Data. http://www.cs.nyu.edu/~roweis/data.html. Accessed 15 Jan 2013

5. Blei, D.M., Griffiths, T.L., Jordan, M.I.: The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies. J. ACM 57(2), 7:1–7:30 (2010)

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1. Latent Semantic Indexing (LSI) and Hierarchical Dirichlet Process (HDP) Models on News Data;2022 5th International Conference of Computer and Informatics Engineering (IC2IE);2022-09-13

2. Simultaneous Multiple POI Population Pattern Analysis System with HDP Mixture Regression;Advances in Knowledge Discovery and Data Mining;2021

3. A Survey of Multi-Label Topic Models;ACM SIGKDD Explorations Newsletter;2019-11-26

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