A Novel Label Selection Algorithm Based on Principal Component Analysis and Sparse Approximation Solution for Multi-label Classification*
Author:
Affiliation:
1. Nanjing Normal University,School of Computer and Electronic Information, School of Artificial Intelligence,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10356387/10356231/10356598.pdf?arnumber=10356598
Reference28 articles.
1. A Review of Methods for Imbalanced Multi-Label Classification
2. The Emerging Trends of Multi-Label Learning
3. Well-calibrated confidence measures for multi-label text classification with a large number of labels
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