ML-MDLText: An efficient and lightweight multilabel text classifier with incremental learning-Reference-Cited by-同舟云学术

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ML-MDLText: An efficient and lightweight multilabel text classifier with incremental learning

Published:2020-11 Issue: Volume:96 Page:106699
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Bittencourt Marciele M.,Silva Renato M.,Almeida Tiago A.

Funder

São Paulo Research Foundation, Brazil

Brazilian National Council for Scientific and Technological Development

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil

Publisher

Elsevier BV

Subject

Software

Reference67 articles.

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2. A tutorial on multilabel learning;Gibaja;ACM Comput. Surv.,2015

3. Towards a unified multi-source-based optimization framework for multi-label learning;Zhang;Appl. Soft Comput.,2019

4. Mining multi-label data;Tsoumakas,2010

5. Scalable and efficient multi-label classification for evolving data streams;Read;Mach. Learn.,2012

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