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A Novel Semi-supervised Multi-label Twin Support Vector Machine

  • Intelligent Automation & Soft Computing
  • Taylor & Francis
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Abstract

Multi-label learning is a meaningful supervised learning task in which each sample may belong to multiple labels simultaneously. Due to this characteristic, multi-label learning is more complicated and more difficult than mul... | Find, read and cite all the research you need on Tech Science Press

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Publication details

DOI
10.32604/iasc.2021.013357
OpenAlex
W3121005295
Document type
article
Language
EN
Source
Intelligent Automation & Soft Computing
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