Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification
Author:
Affiliation:
1. Department of Computer Science and Numerical Analysis, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Córdoba, Córdoba, Spain
Funder
Ministerio de Ciencia e Innovaci?n
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09833489.pdf?arnumber=9833489
Reference35 articles.
1. Multi-label Classification Using Ensembles of Pruned Sets
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4. Addressing imbalance in multilabel classification: Measures and random resampling algorithms
5. An extension on ‘statistical comparisons of classifiers over multiple data sets’ for all pairwise comparisons;garcia;J Mach Learn Res,2008
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