Search Results - "Discrete difference of convex algorithm"

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    MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm by Akagi, Yasunori, Marumo, Naoki, Kim, Hideaki, Kurashima, Takeshi, Toda, Hiroyuki

    ISSN: 0885-6125, 1573-0565
    Published: New York Springer US 01.01.2023
    Published in Machine learning (01.01.2023)
    “…Collective graphical model (CGM) is a probabilistic model that provides a framework for analyzing aggregated count data. Maximum a posteriori (MAP) inference…”
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    Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm by Akagi, Yasunori, Marumo, Naoki, Kim, Hideaki, Kurashima, Takeshi, Toda, Hiroyuki

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 18.02.2021
    Published in arXiv.org (18.02.2021)
    “…The importance of aggregated count data, which is calculated from the data of multiple individuals, continues to increase. Collective Graphical Model (CGM) is…”
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