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    Chapter and Conference Paper

    Novel Topic Models for Parallel Topics Extraction from Multilingual Text

    In this work, we propose novel topic models to extract topics from multilingual documents. We add more flexibility to conventional LDA by relaxing some constraints in its prior. We apply other alternative prio...

    Kamal Maanicshah, Narges Manouchehri in Intelligent Information and Database Syste… (2023)

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    Chapter and Conference Paper

    A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data

    In this paper, we develop the predictive distribution of the generalized inverted Dirichlet (GID) mixture model using local variational inference. The main goal is to be able to tackle classification problems ...

    Jiaxun Guo, Manar Amayri, Wentao Fan in Advances and Trends in Artificial Intellig… (2022)