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    Article

    Label-dependent feature exploration for label distribution learning

    Label distribution learning (LDL) explicitly models label ambiguity by assigning a real-valued vector with label description degrees to each sample. Most LDL methods only build models on the same feature (sub)...

    Run-Ting Bai, Heng-Ru Zhang, Fan Min in International Journal of Machine Learning … (2023)

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    Chapter and Conference Paper

    Label Distribution Learning with Discriminative Instance Map**

    Label distribution learning (LDL) is an effective tool to tackle label ambiguity since it allows one instance to be associated with multiple labels in different degrees. Therefore, the more complex but informa...

    Heng-Ru Zhang, Run-Ting Bai… in Advances in Knowledge Discovery and Data Mining (2023)