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4 résultats
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Massively Distributed Clustering via Dirichlet Process MixtureElectronics. Université Montpellier, 2020. English. ⟨NNT : 2020MONTS034⟩
Thèse
tel-03454296v1
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Massively Distributed Clustering via Dirichlet Process MixtureECML PKDD 2020 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent / Virtual, Belgium. ⟨10.1007/978-3-030-67670-4_34⟩
Communication dans un congrès
lirmm-03036910v1
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Dirichlet Process Mixture Models made Scalable and Effective by means of Massive DistributionSAC 2019 - 34th ACM/SIGAPP Symposium on Applied Computing, Apr 2019, Limassol, Cyprus. pp.502-509, ⟨10.1145/3297280.3297327⟩
Communication dans un congrès
hal-01999453v1
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High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture ModelsIEEE Big Data 2019 - IEEE International Conference on Big Data, Dec 2019, Los-Angeles, United States
Communication dans un congrès
lirmm-02364411v1
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