BOOMER — An algorithm for learning gradient boosted multi-label classification rules

Multi-label classification is concerned with the assignment of sets of labels to individual data points. Due to its diverse real-world applications, e.g., the annotation of text documents with topics, it has become a well-established field of machine learning research. Compared to traditional classi...

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Veröffentlicht in:	Software impacts Jg. 10; S. 100137
1. Verfasser:	Rapp, Michael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2021
Schlagworte:	Gradient boosting Machine learning Multi-label classification Rule learning Rule learning Multi-label classification Machine learning Gradient boosting
ISSN:	2665-9638, 2665-9638
Online-Zugang:	Volltext
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