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  • 标题:Minimization of Decision Trees is Hard to Approximate
  • 本地全文:下载
  • 作者:Detlef Sieling
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2002
  • 卷号:2002
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:Decision trees are representations of discrete functions with widespread applications in, e.g., complexity theory and data mining and exploration. In these areas it is important to obtain decision trees of small size. The minimization problem for decision trees is known to be NP-hard. In this paper the problem is shown to be even hard to approximate up to any constant factor.
  • 关键词:Approximation algorithm , Decision Tree , nonapproximability
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