期刊文献+

决策树算法的程序演化方法优化

Decision tree algorithm optimized using method of program transformation
下载PDF
导出
摘要 为了从另一个角度提高决策树算法的效率,对标准的ID3决策树算法进行函数式语言Haskell描述,研究了程序演化策略,推衍出了一个高效等价算法。实验结果证明演化过程是正确的。 In this paper,in order to raise the efficiency of decision tree algorithms from another angle,it describes the standard ID3 decision tree algorithm in functional language Haskell,and products a highly effective and equal algorithm using the program transformation strategy.The experimental result shows that evolutionary process is correct.
出处 《计算机工程与应用》 CSCD 北大核心 2009年第15期72-74,共3页 Computer Engineering and Applications
基金 湖南省自然科学基金No.07JJ3120 湖南省科技计划项目No.2008GK3085~~
关键词 程序演化 函数式语言 决策树 program Transformation functional language decision tree
  • 相关文献

参考文献4

  • 1Cunha A,Visser J.Stmngly typed rewriting for coupled software transformation[J].Electronic Notes in Theoretical Computer Science, 2007,174( 1 ) : 17-34.
  • 2Regehr J,Cooprider N.Interrupt verification via thread verification[J]. Electronic Notes in Theoretical Computer Science,2007,174 (9) : 139-150.
  • 3Quinlan J R.Induction of decision tree[J].Maehine Learing,1986,1 (1):81-106.
  • 4刘奕群,张敏,马少平.基于改进决策树算法的网络关键资源页面判定[J].软件学报,2005,16(11):1958-1966. 被引量:11

二级参考文献16

  • 1洪家荣,丁明峰,李星原,王丽薇.一种新的决策树归纳学习算法[J].计算机学报,1995,18(6):470-474. 被引量:92
  • 2Amento B, Terveen L, Hill W. Does authority mean quality? Predicting expert quality ratings of Web documents. In: Belkin NJ,Ingwersen P, Leong MK, eds. SIGIR 2000: Proc. of the 23rd Annual Int'l ACM SIGIR Conf. on Research and Development in Information Retrieval 2000. New York: ACM Press, 2000. 296-303.
  • 3Davison BD. Topical locality in the Web. In: Belkin NJ, Ingwersen P, Leong MK, eds. SIGIR 2000: Proc. of the 23rd Annual Int'l ACM SIGIR Conf. on Research and Development in Information Retrieval 2000. New York: ACM Press, 2000. 272-279.
  • 4Bharat K, Henzinger M. Improved algorithms for topic distillation in a hyperlinked environment. In: Croft BW, Moffat A, van Rijsbergen CJ, Wilkinson R, Zobel J, eds. SIGIR'98: Proc. of the 21st Annual Int'l ACM SIGIR Conf. on Research and Development in Information Retrieval. New York: ACM Press, 1998. 104-111.
  • 5Broder A. A taxonomy of Web search. SIGIR Forum, 2002,36(2):1-8.
  • 6Henzinger MR, Motwani R, Silverstein C. Challenges in Web search engines. In: Gottlob G, Walsh T, eds. IJCAI 2003, Proc. of the 18th Int'l Joint Conf. on Artificial Intelligence. San Francisco: Morgan Kanfmann Publishers, 2003. 1573-1579.
  • 7Kleinberg JM. Authoritative sources in a hyperlinked environment. Journal of the ACM, 1999,46(5):604-632.
  • 8Chakrabarti S, Dom B, Kumar R, Raghavan P, Rajagopalan S, Tomkins A. Experiments in topic distillation. In: Brown E, Smeaton A, eds. Proc. of the ACM SIGIR Workshop on Hypertext Information Retrieval. New York: ACM Press, 1998. 13-21.
  • 9Chakrabarti S, Joshi M, Tawde V, Bombay IIT. Enhanced topic distillation using text, markup, tags and hyperlinks. In: Croft BW,Harper D J, Kraft DH, Zobel J, eds. SIGIR 2001: Proc. of the 24th Annual Int'l ACM SIGIR Conf. on Research and Development in Information Retrieval. New York: ACM Press, 2001. 208-216.
  • 10Mitchell TM. Machine Learning. New York: McGraw-Hill, 1997. 55-64.

共引文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部