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Blocking Collapsed Gibbs Sampler for Latent Dirichlet Allocation Models

by Zhang, Xin, Sisson, Scott A
Published in arXiv.org (02.08.2016)

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Paper

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Blocking Collapsed Gibbs Sampler for Latent Dirichlet Allocation Models

by Zhang, Xin, Sisson, Scott A
Year of Publication 02.08.2016

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Journal Article

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Partially collapsed parallel Gibbs sampler for Dirichlet process mixture models

by Yerebakan, Halid Ziya, Dundar, Murat
Published in Pattern recognition letters (15.04.2017)

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An improved collapsed Gibbs sampler for Dirichlet process mixing models

by Kuo, Lynn, Yang, Tae Young
Published in Computational statistics & data analysis (10.02.2006)

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Journal Article

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A Web service clustering method based on topic enhanced Gibbs sampling algorithm for the Dirichlet Multinomial Mixture model and service collaboration graph

by Hu, Qiang, Shen, Jiaji, Wang, Kun, Du, Junwei, Du, Yuyue
Published in Information sciences (01.03.2022)

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Journal Article

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Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning

by Khoufache, Reda, Lebbah, Mustapha, Azzag, Hanene, Goffinet, Etienne, Bouchaffra, Djamel
Year of Publication 18.12.2023

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Journal Article

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Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning

Published in Society for Industrial and Applied Mathematics eBooks

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Book Chapter

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Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning

by Khoufache, Reda, Lebbah, Mustapha, Azzag, Hanene, Goffinet, Etienne, Bouchaffra, Djamel
Published in arXiv.org (18.12.2023)

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Paper

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Online Sparse Collapsed Hybrid Variational-Gibbs Algorithm for Hierarchical Dirichlet Process Topic Models

by Burkhardt, Sophie, Kramer, Stefan
Published in Machine Learning and Knowledge Discovery in Databases (2017)

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Book Chapter

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Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data

by Weisser, Christoph, Gerloff, Christoph, Thielmann, Anton, Python, Andre, Reuter, Arik, Kneib, Thomas, Säfken, Benjamin
Published in Computational statistics (01.06.2023)

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Journal Article

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A Dirichlet-multinomial mixture model-based approach for daily solar radiation classification

by Frimane, Âzeddine, Aggour, Mohammed, Ouhammou, Badr, Bahmad, Lahoucine
Published in Solar energy (01.09.2018)

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A distributed inference algorithm for Dirichlet process mixture models with exponential family components

by Khoufache, Reda, Lebbah, Mustapha, Azzag, Hanene, Goffinet, Etienne, Bouchaffra, Djamel
Published in Neurocomputing (Amsterdam) (07.11.2025)

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