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...

Celý popis

Podrobná bibliografia

Vydané v:	Software impacts Ročník 10; s. 100137
Hlavný autor:	Rapp, Michael
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.11.2021
Predmet:	Gradient boosting Machine learning Multi-label classification Rule learning Rule learning Multi-label classification Machine learning Gradient boosting
ISSN:	2665-9638, 2665-9638
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!