Label Specific Features-Based Classifier Chains for Multi-Label Classification

Multi-label classification tackles the problems in which each instance is associated with multiple labels. Due to the interdependence among labels, exploiting label correlations is the main means to enhance the performances of classifiers and a variety of corresponding multi-label algorithms have be...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.51265-51275
Hauptverfasser:	Weng, Wei, Wang, Da-Han, Chen, Chin-Ling, Wen, Juan, Wu, Shun-Xiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Chains Classification Classifier chains Classifiers Correlation Data science Decision trees Feature extraction label specific features Labels Machine learning multi-label learning Prediction algorithms Task analysis
Online-Zugang:	Volltext
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