Categorizing feature selection methods for multi-label classification-Reference-Cited by-同舟云学术

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Categorizing feature selection methods for multi-label classification

Published:2016-09-23 Issue:1 Volume:49 Page:57-78
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Pereira Rafael B.,Plastino Alexandre,Zadrozny Bianca,Merschmann Luiz H. C.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

http://link.springer.com/article/10.1007/s10462-016-9516-4/fulltext.html

Reference74 articles.

1. Burges CJC (1998) A tutorial on support vector machines for pattern recognition. Data Min Knowl Discov 2:121–168

2. Chandrashekar G, Sahin F (2014) A survey on feature selection methods. Comput Electr Eng 40(1):16–28

3. Chen W, Yan J, Zhang B, Chen Z, Yang Q (2007) Document transformation for multi-label feature selection in text categorization. In: Proceedings of the 7th IEEE international conference on data mining. pp 451–456

4. Cheng W, Hüllermeier E (2009) Combining instance-based learning and logistic regression for multilabel classification. Mach Learn 76(2–3):211–225

5. Clare A, King RD (2001) Knowledge discovery in multi-label phenotype data. In: Proceedings of the 5th European conference on principles of data mining and knowledge discovery. pp 42–53

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