Experiments with non-parametric topic models-Reference-Cited by-同舟云学术

Experiments with non-parametric topic models

Published:2014-08-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining
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Author:

Buntine Wray L.¹,Mishra Swapnil²

Affiliation:

1. Monash University, Melbourne, Australia

2. The Australian National University, Canberra, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2623330.2623691

Reference25 articles.

1. Accounting for burstiness in topic models

2. L. Du. Non-parametric Bayesian Methods for Structured Topic Models A Mixture Distribution Approach. PhD thesis School of Computer Science the Australian National University Canberra Australia 2011. L. Du. Non-parametric Bayesian Methods for Structured Topic Models A Mixture Distribution Approach. PhD thesis School of Computer Science the Australian National University Canberra Australia 2011.

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