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    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)