Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s10796-020-10027-2.pdf
Reference44 articles.
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2. Bdiri, T., & Bouguila, N. (2011). An infinite mixture of inverted dirichlet distributions. In International Conference on Neural Information Processing (pp. 71–78). New York: Springer.
3. Bdiri, T., & Bouguila, B. (2012). Positive vectors clustering using inverted dirichlet finite mixture models. Expert Systems with Applications, 39(2), 1869–1882.
4. Blanzieri, E., & Bryl, A. (2008). A survey of learning-based techniques of email spam filtering. Artificial Intelligence Review, 29(1), 63–92.
5. Blei, D.M., & Jordan, M.I. (2004). Variational methods for the dirichlet process. In proceedings of the twenty-first international conference on Machine learning (pp. 12–20). ACM.
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