Attribute reduction for multi-label classification based on labels of positive region
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Qi Chen | Changzhong Wang | Xiaodong Fan | Zhijun Qiao | Mingyan Ten | Xiaodong Fan | Z. Qiao | Changzhong Wang | Qi Chen | Mingyan Ten
[1] Zhi-Hua Zhou,et al. ML-KNN: A lazy learning approach to multi-label learning , 2007, Pattern Recognit..
[2] Yuwen Li,et al. Attribute reduction for multi-label learning with fuzzy rough set , 2018, Knowl. Based Syst..
[3] Witold Pedrycz,et al. Neighborhood rough sets based multi-label classification for automatic image annotation , 2013, Int. J. Approx. Reason..
[4] Sarah Vluymans,et al. Multi-label classification using a fuzzy rough neighborhood consensus , 2018, Inf. Sci..
[5] Yoram Singer,et al. BoosTexter: A Boosting-based System for Text Categorization , 2000, Machine Learning.
[6] Hua Li,et al. A novel attribute reduction approach for multi-label data based on rough set theory , 2016, Inf. Sci..
[7] Xizhao Wang,et al. Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach , 2010, IEEE Transactions on Knowledge and Data Engineering.
[8] Jerzy W. Grzymala-Busse,et al. Rough Sets , 1995, Commun. ACM.
[9] Duoqian Miao,et al. A rough set approach to feature selection based on ant colony optimization , 2010, Pattern Recognit. Lett..
[10] Zhenmin Tang,et al. Minimum cost attribute reduction in decision-theoretic rough set models , 2013, Inf. Sci..
[11] Grigorios Tsoumakas,et al. Random K-labelsets for Multilabel Classification , 2022 .
[12] Jiebo Luo,et al. Learning multi-label scene classification , 2004, Pattern Recognit..
[13] Dominik Slezak,et al. On Generalized Decision Functions: Reducts, Networks and Ensembles , 2015, RSFDGrC.
[14] Qinghua Hu,et al. Neighborhood rough set based heterogeneous feature subset selection , 2008, Inf. Sci..
[15] Zhi-Hua Zhou,et al. Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization , 2006, IEEE Transactions on Knowledge and Data Engineering.
[16] Qinghua Hu,et al. Cost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidence , 2016, Inf. Sci..
[17] Jie Duan,et al. Multi-label feature selection based on neighborhood mutual information , 2016, Appl. Soft Comput..
[18] Qinghua Hu,et al. Neighborhood classifiers , 2008, Expert Syst. Appl..
[19] Witold Pedrycz,et al. Hierarchical Granular Clustering: An Emergence of Information Granules of Higher Type and Higher Order , 2015, IEEE Transactions on Fuzzy Systems.
[20] Min-Ling Zhang,et al. A Review on Multi-Label Learning Algorithms , 2014, IEEE Transactions on Knowledge and Data Engineering.
[21] Z. Pawlak. Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .
[22] Shunxiang Wu,et al. Online multi-label streaming feature selection based on neighborhood rough set , 2018, Pattern Recognit..
[23] Qinghua Hu,et al. A Fitting Model for Feature Selection With Fuzzy Rough Sets , 2017, IEEE Transactions on Fuzzy Systems.