A systematic review of multi-label feature selection and a new method based on label construction
Author:
Funder
São Paulo Research Foundation (FAPESP)
Publisher
Elsevier BV
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference52 articles.
1. S. Jungjit, A.A. Freitas, M. Michaelis, J. Cinatl, Extending multi-label feature selection with kegg pathway information for microarray data analysis, in: IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014, pp. 1–8.
2. Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction;Heider;Bioinformatics,2013
3. P.K. Bhowmick, A. Basu, P. Mitra, A. Prasad, Multi-label text classification approach for sentence level news emotion analysis, in: International Conference on Pattern Recognition and Machine Intelligence, pp. 261–266.
4. Boosting multi-label hierarchical text categorization;Esuli;Inf. Retr.,2008
5. W. Chen, J. Yan, B. Zhang, Z. Chen, Q. Yang, Document transformation for multi-label feature selection in text categorization, in: IEEE International Conference on Data Mining, 2007, pp. 451–456.
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