One-against-one fuzzy support vector machine classifier: An approach to text categorization

Tai Yue Wang, Huei Min Chiang

研究成果: Article同行評審

39 引文 斯高帕斯(Scopus)

摘要

The growth of the internet information delivery has made automatic text categorization essential. This investigation explores the challenges of multi-class text categorization using one-against-one fuzzy support vector machine with Reuter's news as the example data. The performances of four different membership functions on one-against-one fuzzy support vector machine are measured using the macro-average performance indices. Analytical results indicate that the proposed method achieves a comparable or better performance than the one-against-one support vector machine.

原文English
頁(從 - 到)10030-10034
頁數5
期刊Expert Systems With Applications
36
發行號6
DOIs
出版狀態Published - 2009 八月 1

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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