Mining Numbers in Text Using Suffix Arrays and Clustering Based on Dirichlet Process Mixture Models-Reference-Cited by-同舟云学术

Mining Numbers in Text Using Suffix Arrays and Clustering Based on Dirichlet Process Mixture Models

Published:2010 Issue: Volume: Page:230-237
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
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Author:

Yoshida Minoru,Sato Issei,Nakagawa Hiroshi,Terada Akira

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-13672-6_23.pdf

Reference10 articles.

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2. Rasmussen, C.E.: The infinite Gaussian mixture model. In: Advances in Neural Information Processing Systems, 13th Conference, NIPS 1999, pp. 554–560 (2000)

3. Jain, S., Neal, R.M.: Splitting and merging components of a nonconjugate dirichlet process mixture model. Technical Report 0507, Dept. of Statistics, University of Toronto (2005)

4. Blei, D.M., Jordan, M.I.: Variational inference for dirichlet process mixtures. Bayesian Analysis 1(1), 121–144 (2006)

5. Daumé, H.: Fast search for Dirichlet process mixture models. In: Proceedings of the 11th International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 83–90 (2007)

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