Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2011, Vol. 34 ›› Issue (4): 14-18.doi: 10.13190/jbupt.201104.14.zhangtzh

• Papers • Previous Articles     Next Articles

Relevancy of Auxiliary Problems in Alternating Structure  Optimization Algorithm

  

  • Received:2010-10-24 Revised:2011-04-27 Online:2011-08-28 Published:2011-07-18
  • Contact: Zhang TaoZheng E-mail:zhangtaozheng@gmail.com
  • Supported by:

    National Natural Science Foundation of China

Abstract:

The principle of relevancy for auxiliary problems (APs) selection is proposed to further improve the classification results in alternating structure optimization algorithm. Many kinds of APs are created by taking examples of Chinese syntactic chunking and Chinese semantic role labeling. Experiments demonstrate that the APs created can help target problems to obtain better classification results.

Key words: alternating structure optimization, structural learning, semisupervised learning, auxiliary problems, target problems, relevancy

CLC Number: