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Multi-Label Classification with Label Constraints

Park, Sang-Hyeun ; Fürnkranz, Johannes (2008)
Multi-Label Classification with Label Constraints.
Report, Bibliographie

Kurzbeschreibung (Abstract)

We extend the multi-label classification setting with constraints on labels. This leads to two new machine learning tasks: First, the label constraints must be properly integrated into the classification process to improve its performance and second, we can try to automatically derive useful constraints from data. In this paper, we experiment with two constraint-based correction approaches as post-processing step within the ranking by pairwise comparison (RPC)-framework. In addition, association rule learning is considered for the task of label constraints learning. We report on the current status of our work, together with evaluations on synthetic datasets and two real-world datasets.

Typ des Eintrags: Report
Erschienen: 2008
Autor(en): Park, Sang-Hyeun ; Fürnkranz, Johannes
Art des Eintrags: Bibliographie
Titel: Multi-Label Classification with Label Constraints
Sprache: Englisch
Publikationsjahr: 2008
URL / URN: http://www.ke.informatik.tu-darmstadt.de/publications/report...
Kurzbeschreibung (Abstract):

We extend the multi-label classification setting with constraints on labels. This leads to two new machine learning tasks: First, the label constraints must be properly integrated into the classification process to improve its performance and second, we can try to automatically derive useful constraints from data. In this paper, we experiment with two constraint-based correction approaches as post-processing step within the ranking by pairwise comparison (RPC)-framework. In addition, association rule learning is considered for the task of label constraints learning. We report on the current status of our work, together with evaluations on synthetic datasets and two real-world datasets.

ID-Nummer: TUD-KE-2008-04
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Knowledge Engineering
Hinterlegungsdatum: 24 Jun 2011 15:14
Letzte Änderung: 26 Aug 2018 21:26
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