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<< /S /GoTo /D (section.1) >>
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(Introduction)
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<< /S /GoTo /D (section.2) >>
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(Related Work)
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<< /S /GoTo /D (section.3) >>
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(The Proposed Algorithms)
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<< /S /GoTo /D (subsection.3.1) >>
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(Problem description and maximum entropy model)
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<< /S /GoTo /D (subsection.3.2) >>
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(Manifold space construction for feature extraction)
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<< /S /GoTo /D (subsection.3.3) >>
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(Regression to estimate features' label distributions)
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<< /S /GoTo /D (subsection.3.4) >>
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(LTSA regression to estimate features' label distributions)
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<< /S /GoTo /D (subsection.3.5) >>
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(Enhanced maximum entropy model and LDML/LDML-R algorithms)
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<< /S /GoTo /D (section.4) >>
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(Experimental Evaluation)
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37 0 obj
<< /S /GoTo /D (subsection.4.1) >>
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(Experiment setup)
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<< /S /GoTo /D (subsubsection.4.1.1) >>
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(Datasets)
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<< /S /GoTo /D (subsubsection.4.1.2) >>
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48 0 obj
(Comparison algorithms)
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<< /S /GoTo /D (subsubsection.4.1.3) >>
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(Evaluation metrics)
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<< /S /GoTo /D (subsubsection.4.1.4) >>
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(Hyperparameter setting)
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<< /S /GoTo /D (subsection.4.2) >>
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(Experiments for multilabel distribution learning)
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<< /S /GoTo /D (subsubsection.4.2.1) >>
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(Label distribution learning experimental results)
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<< /S /GoTo /D (subsubsection.4.2.2) >>
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(Statistical validation of label distribution learning experimental results)
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<< /S /GoTo /D (subsection.4.3) >>
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(Experiments for multilabel classification performance)
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<< /S /GoTo /D (subsubsection.4.3.1) >>
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(Multilabel classification experimental results)
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<< /S /GoTo /D (subsubsection.4.3.2) >>
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80 0 obj
(Statistical validation of multilabel classification experimental results)
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<< /S /GoTo /D (subsection.4.4) >>
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(Performance comparison with state-of-the-art MLL algorithms)
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<< /S /GoTo /D (section.5) >>
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(Conclusions)
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