Fast block-wise partitioning for extreme multi-label classification

DOI10.1007/s10618-023-00945-5MaRDI QIDQ6535170

Thomas C. M. Lee, Yuefeng Liang, Cho-Jui Hsieh

Publication date: 15 November 2023

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

zbMATH Keywords

nonconvex optimizationsupervised learningextreme multi-label problemsscalable classification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of mathematical programming (90C90) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Efficient algorithms for agglomerative hierarchical clustering methods
• Large scale multi-label learning using Gaussian processes
• Bonsai: diverse and shallow trees for extreme multi-label classification
• Data scarcity, robustness and extreme multi-label classification
• 10.1162/15324430260185628
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