JOURNAL ARTICLE
Multilabel classification via calibrated label ranking
Johannes FürnkranzEyke HüllermeierEneldo Loza MencíaKlaus Brinker
Year: 2008 Journal: Machine Learning Vol: 73 (2)Pages: 133-153 Publisher: Springer Science+Business Media
Keywords:
Pairwise comparison Artificial intelligence Ranking (information retrieval) Machine learning Computer science Classifier (UML) Multi-label classification Categorization Preference learning Pattern recognition (psychology) Set (abstract data type) Data mining Preference Mathematics Statistics
Metrics
892
Cited By
19.16
FWCI (Field Weighted Citation Impact)
60
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Text and Document Classification Technologies
Physical Sciences → Computer Science → Artificial Intelligence
Machine Learning in Bioinformatics
Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology
Image Retrieval and Classification Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Related Documents
JOURNAL ARTICLE
Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification
Serafín Moral‐GarcíaCarlos J. MantasJavier G. CastellanoJoaquín Abellán
Journal: International Journal of Approximate Reasoning Year: 2022 Vol: 147 Pages: 60-77
BOOK-CHAPTER
Partial Calibrated Multi-label Ranking
Serafín Moral‐GarcíaSébastien Destercke
Advances in intelligent systems and computing Year: 2022 Pages: 287-294
JOURNAL ARTICLE
Hidden-Concept Driven Multilabel Image Annotation and Label Ranking
Bing‐Kun BaoTeng LiShuicheng Yan
Journal: IEEE Transactions on Multimedia Year: 2011 Vol: 14 (1)Pages: 199-210
JOURNAL ARTICLE
Calibrated Multi-label Classification with Label Correlations
Zhifen HeMing YangHuidong LiuLei Wang
Journal: Neural Processing Letters Year: 2018 Vol: 50 (2)Pages: 1361-1380