Inverted Dirichlet distribution (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Inverted Dirichlet distribution" in English language version.

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  • Tiao, George (1965). "The inverted Dirichlet distribution with applications". Journal of the American Statistical Association. 60 (311): 793–805. doi:10.1080/01621459.1965.10480828.
  • Ghorbel, M. (2010). "On the inverted Dirichlet distribution". Communications in Statistics - Theory and Methods. 39: 21–37. doi:10.1080/03610920802627062. S2CID 122956752.
  • Bdiri, Taoufik; Nizar, Bouguila (2012). "Positive vectors clustering using inverted Dirichlet finite mixture models". Expert Systems with Applications. 39 (2): 1869–1882. doi:10.1016/j.eswa.2011.08.063.
  • Bdiri, Taoufik; Bouguila, Nizar (2011). "Learning Inverted Dirichlet Mixtures for Positive Data Clustering". Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. Lecture Notes in Computer Science. Vol. 6743. pp. 265–272. doi:10.1007/978-3-642-21881-1_42. ISBN 978-3-642-21880-4.
  • Bdiri, Taoufik; Bouguila, Nizar (2011). "An Infinite Mixture of Inverted Dirichlet Distributions". Neural Information Processing. Lecture Notes in Computer Science. Vol. 7063. pp. 71–78. doi:10.1007/978-3-642-24958-7_9. ISBN 978-3-642-24957-0.
  • Bdiri, Taoufik; Nizar, Bouguila (2013). "Bayesian learning of inverted Dirichlet mixtures for SVM kernels generation" (PDF). Neural Computing and Applications. 23 (5): 1443–1458. doi:10.1007/s00521-012-1094-z. S2CID 254025619.
  • Bdiri, Taoufik; Bouguila, Nizar; Ziou, Djemel (2014). "Object clustering and recognition using multi-finite mixtures for semantic classes and hierarchy modeling". Expert Systems with Applications. 41 (4): 1218–1235. doi:10.1016/j.eswa.2013.08.005.
  • Bdiri, Taoufik; Bouguila, Nizar; Ziou, Djemel (2013). "Visual Scenes Categorization Using a Flexible Hierarchical Mixture Model Supporting Users Ontology". 2013 IEEE 25th International Conference on Tools with Artificial Intelligence. pp. 262–267. doi:10.1109/ICTAI.2013.48. ISBN 978-1-4799-2972-6. S2CID 1236111.

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