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Towards a unified multi-source-based optimization framework for multi-label learning

  • Published:2019-03 Issue: Volume:76 Page:425-435
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Zhang JiaORCID,Li Candong,Sun Zhenqiang,Luo Zhiming,Zhou Changen,Li Shaozi

Funder

National Natural Science Foundation of China

Fujian Province 2011 Collaborative Innovation Center of TCM Health Management, China

Collaborative Innovation Center of Chinese Oolong Tea Industry-Collaborative Innovation Center (2011) of Fujian Province, China

Fund for Integration of Cloud Computing and Big Data, Innovation of Science and Education, China

Publisher

Elsevier BV

Subject

Software

Reference58 articles.

1. Challenges and opportunities with big data;Labrinidis;PVLDB,2012

2. Data mining with big data;Wu;IEEE Trans. Knowl. Data Eng.,2014

3. Support vector machines for histogram-based image classification;Chapelle;IEEE Trans. Neural Netw.,1999

4. Similarity computing model of high dimension data for symptom classification of Chinese traditional medicine;Peng;Appl. Soft Comput.,2009

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

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