标题
A Review on Multi-Label Learning Algorithms
作者
关键词
-
出版物
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
Volume 26, Issue 8, Pages 1819-1837
出版商
Institute of Electrical and Electronics Engineers (IEEE)
发表日期
2013-06-01
DOI
10.1109/tkde.2013.39
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers
- (2013) Hanen Borchani et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Introduction to the special issue on learning from multi-label data
- (2012) Grigorios Tsoumakas et al. MACHINE LEARNING
- Scalable and efficient multi-label classification for evolving data streams
- (2012) Jesse Read et al. MACHINE LEARNING
- On label dependence and loss minimization in multi-label classification
- (2012) Krzysztof Dembczyński et al. MACHINE LEARNING
- An extensive experimental comparison of methods for multi-label learning
- (2012) Gjorgji Madjarov et al. PATTERN RECOGNITION
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- Multi-instance multi-label learning
- (2011) Zhi-Hua Zhou et al. ARTIFICIAL INTELLIGENCE
- Multi-dimensional classification with Bayesian networks
- (2011) C. Bielza et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
- gMLC: a multi-label feature selection framework for graph classification
- (2011) Xiangnan Kong et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Classifier chains for multi-label classification
- (2011) Jesse Read et al. MACHINE LEARNING
- Two stage architecture for multi-label learning
- (2011) Gjorgji Madjarov et al. PATTERN RECOGNITION
- Random k-Labelsets for Multilabel Classification
- (2010) Grigorios Tsoumakas et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Efficient voting prediction for pairwise multilabel classification
- (2010) Eneldo Loza Mencía et al. NEUROCOMPUTING
- Combining instance-based learning and logistic regression for multilabel classification
- (2009) Weiwei Cheng et al. MACHINE LEARNING
- Decision trees for hierarchical multi-label classification
- (2008) Celine Vens et al. MACHINE LEARNING
- Multilabel classification via calibrated label ranking
- (2008) Johannes Fürnkranz et al. MACHINE LEARNING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started