Fuzzy Mutual Information-Based Multilabel Feature Selection With Label Dependency and Streaming Labels
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Title
Fuzzy Mutual Information-Based Multilabel Feature Selection With Label Dependency and Streaming Labels
Authors
Keywords
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Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 31, Issue 1, Pages 77-91
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2022-06-14
DOI
10.1109/tfuzz.2022.3182441
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Note: Only part of the references are listed.- Global-Local Label Correlation for Partial Multi-Label Learning
- (2021) Lijuan Sun et al. IEEE TRANSACTIONS ON MULTIMEDIA
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- Distinguishing two types of labels for multi-label feature selection
- (2019) Ping Zhang et al. PATTERN RECOGNITION
- Manifold regularized discriminative feature selection for multi-label learning
- (2019) Jia Zhang et al. PATTERN RECOGNITION
- Fuzzy Rough Attribute Reduction for Categorical Data
- (2019) Changzhong Wang et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets
- (2018) Qinghua Hu et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Multi-Label Learning with Global and Local Label Correlation
- (2018) Yue Zhu et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Local rough set: A solution to rough data analysis in big data
- (2018) Yuhua Qian et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
- Online Multi-label Group Feature Selection
- (2018) Jinghua Liu et al. KNOWLEDGE-BASED SYSTEMS
- Online Multi-label Streaming Feature Selection Based on Neighborhood Rough Set
- (2018) Jinghua Liu et al. PATTERN RECOGNITION
- Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information
- (2017) Yaojin Lin et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- A Fitting Model for Feature Selection With Fuzzy Rough Sets
- (2017) Changzhong Wang et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Granular multi-label feature selection based on mutual information
- (2017) Feng Li et al. PATTERN RECOGNITION
- Multi-label feature selection based on neighborhood mutual information
- (2016) Yaojin Lin et al. APPLIED SOFT COMPUTING
- Learning Label-Specific Features and Class-Dependent Labels for Multi-Label Classification
- (2016) Jun Huang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Multi-label feature selection with streaming labels
- (2016) Yaojin Lin et al. INFORMATION SCIENCES
- Lift: Multi-Label Learning with Label-Specific Features
- (2015) Min-Ling Zhang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Multi-label feature selection based on max-dependency and min-redundancy
- (2015) Yaojin Lin et al. NEUROCOMPUTING
- Fast multi-label feature selection based on information-theoretic feature ranking
- (2015) Jaesung Lee et al. PATTERN RECOGNITION
- Genome-Wide Protein Function Prediction through Multi-Instance Multi-Label Learning
- (2014) Jian-Sheng Wu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Feature selection for multi-label classification using multivariate mutual information
- (2012) Jaesung Lee et al. PATTERN RECOGNITION LETTERS
- Classifier chains for multi-label classification
- (2011) Jesse Read et al. MACHINE LEARNING
- Multilabel dimensionality reduction via dependence maximization
- (2010) Yin Zhang et al. ACM Transactions on Knowledge Discovery from Data
- Multilabel classification via calibrated label ranking
- (2008) Johannes Fürnkranz et al. MACHINE LEARNING
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