Bouguila N - Search Results

1

Online Learning of Hierarchical Pitman-Yor Process Mixture of Generalized Dirichlet Distributions With Feature Selection.

Fan W, Sallay H, Bouguila N. Fan W, et al. Among authors: bouguila n. IEEE Trans Neural Netw Learn Syst. 2017 Sep;28(9):2048-2061. doi: 10.1109/TNNLS.2016.2574500. Epub 2016 Jun 9. IEEE Trans Neural Netw Learn Syst. 2017. PMID: 27305687

2

A Dirichlet process mixture of generalized Dirichlet distributions for proportional data modeling.

Bouguila N, Ziou D. Bouguila N, et al. IEEE Trans Neural Netw. 2010 Jan;21(1):107-22. doi: 10.1109/TNN.2009.2034851. Epub 2009 Dec 4. IEEE Trans Neural Netw. 2010. PMID: 19963696

3

Variational learning for finite Dirichlet mixture models and applications.

Fan W, Bouguila N, Ziou D. Fan W, et al. Among authors: bouguila n. IEEE Trans Neural Netw Learn Syst. 2012 May;23(5):762-74. doi: 10.1109/TNNLS.2012.2190298. IEEE Trans Neural Netw Learn Syst. 2012. PMID: 24806125

4

Online learning of a Dirichlet process mixture of Beta-Liouville distributions via variational inference.

Fan W, Bouguila N. Fan W, et al. Among authors: bouguila n. IEEE Trans Neural Netw Learn Syst. 2013 Nov;24(11):1850-62. doi: 10.1109/TNNLS.2013.2268461. IEEE Trans Neural Netw Learn Syst. 2013. PMID: 24808617

5

Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions.

Fan W, Bouguila N, Du JX, Liu X. Fan W, et al. Among authors: bouguila n. IEEE Trans Neural Netw Learn Syst. 2019 Jun;30(6):1683-1694. doi: 10.1109/TNNLS.2018.2872986. Epub 2018 Oct 23. IEEE Trans Neural Netw Learn Syst. 2019. PMID: 30369452

6

Modeling and Clustering Positive Vectors via Nonparametric Mixture Models of Liouville Distributions.

Fan W, Bouguila N. Fan W, et al. Among authors: bouguila n. IEEE Trans Neural Netw Learn Syst. 2020 Sep;31(9):3193-3203. doi: 10.1109/TNNLS.2019.2938830. Epub 2019 Sep 25. IEEE Trans Neural Netw Learn Syst. 2020. PMID: 31562109

7

Clustering Analysis via Deep Generative Models With Mixture Models.

Yang L, Fan W, Bouguila N. Yang L, et al. Among authors: bouguila n. IEEE Trans Neural Netw Learn Syst. 2022 Jan;33(1):340-350. doi: 10.1109/TNNLS.2020.3027761. Epub 2022 Jan 5. IEEE Trans Neural Netw Learn Syst. 2022. PMID: 33048769

8

Bayesian Matrix Factorization for Semibounded Data.

Dalhoumi O, Bouguila N, Amayri M, Fan W. Dalhoumi O, et al. Among authors: bouguila n. IEEE Trans Neural Netw Learn Syst. 2023 Jun;34(6):3111-3123. doi: 10.1109/TNNLS.2021.3111824. Epub 2023 Jun 1. IEEE Trans Neural Netw Learn Syst. 2023. PMID: 34596558

9

Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions.

Fan W, Yang L, Bouguila N. Fan W, et al. Among authors: bouguila n. IEEE Trans Pattern Anal Mach Intell. 2022 Dec;44(12):9654-9668. doi: 10.1109/TPAMI.2021.3128271. Epub 2022 Nov 7. IEEE Trans Pattern Anal Mach Intell. 2022. PMID: 34784270

10

Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings.

Yang L, Fan W, Bouguila N. Yang L, et al. Among authors: bouguila n. IEEE Trans Neural Netw Learn Syst. 2023 Sep;34(9):6303-6312. doi: 10.1109/TNNLS.2021.3135460. Epub 2023 Sep 1. IEEE Trans Neural Netw Learn Syst. 2023. PMID: 34941534

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