期刊文献+

粗糙集学习机器泛化性能控制的结构风险最小化方法

Structural Risk Minimization for Controlling Generalization Performance of Rough Set Learning Machine
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摘要 对影响粗糙集学习机器泛化性能的因素进行了分析,通过将结构风险最小化原则引入到粗糙集学习中,提出了粗糙集学习的结构风险最小化方法;通过12个UCI数据集上的实验分析,验证了提出方法的有效性。 The factors influencing the generalization performance of rough set learning machine were analyzed. Through introducing the principle of structural risk minimization into rough set learning process, structural risk minimization on rough set learning was proposed. Experiments on 12 UCI data sets show that the proposed method is effective for improving the generalization performance of rough set learning machine.
出处 《计算机科学》 CSCD 北大核心 2009年第12期210-213,共4页 Computer Science
基金 国家自然科学基金(No.60703013) 中国博士后科学基金(20080440886)资助
关键词 粗糙集 泛化性能 结构风险最小化 Rough sets,Generalization per/ormanee,Structural risk minimization
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参考文献16

  • 1Pawlak Z. Rough Sets [J]. International Journal of Computer and Information Sciences, 1982,11 (5) : 341-356.
  • 2Zadeh L A. Toward a Theory of Fuzzy Information Granulation and its Centrality in Human Reasoning and Fuzzy Logic[J]. Fuzzy Set and System, 1997,90(2) : 111-127.
  • 3张铃,张钹.模糊商空间理论(模糊粒度计算方法)[J].软件学报,2003,14(4):770-776. 被引量:207
  • 4Su-QingHan JueWang.Reduct and Attribute Order[J].Journal of Computer Science & Technology,2004,19(4):429-449. 被引量:24
  • 5Leung Y, Li D Y. Maximal Consistent Block Technique for Rule Acquisition in Incomplete Information Systems[J]. Information Sciences, 2003,153: 85-106.
  • 6Zheng Z,Wang G Y. RRIA: A Rough Set and Rule Tree Based Incremental Knowledge Acquisition Algorithm[J]. Fundamenta Informaticae, 2004,59 (2/3) : 299-313.
  • 7Wu C D, Yue Y, Li M X. The Rough Set Theory and Applieations[J]. Engineering Computations, 2004,21 (5/6) : 488-511.
  • 8Parzen E. On Estimation of Probability Density Function and Model[J]. Annals of Mathematical Statistics, 1962, 33:1065- 1076.
  • 9Rissanen J. Modeling by Shortest Data Description[J]. Automatica, 1978,14 : 465-471.
  • 10Vapnik V N. Principles of Risk Minimization for Learning Theory[C]//J. E. Moody, et al. , eds. Advances in Neural Information Processing Systems. Morgan Kaufmann, San Mateo, CA, 1992, 4:831-838.

二级参考文献48

  • 1Wang Jue, Wang Ju. Reduct algorithms on discernibility matrix: The ordered attributes method. J. Computer Science and Technology, 2001, 16(6): 489-504.
  • 2Skowron A, Rauszer C. The discernibility matrices and functions in information systems. Intelligent Decision Support Handbook of Applications and Advance of the Rough Sets Theory, Slowinski R et al. (eds.), 1991,pp.331-362.
  • 3Pawlak Z. Rough sets. Int. J. Comput. Inform. Sci.,1982, 11(5): 341-356.
  • 4Pareto V. Cours d'economies politique, volume Ⅰ and Ⅱ [M]. F Rouge, Lausanne, 1896
  • 5Rosenberg R S. Simulation of genetic populations with biochemical properties [D]. University of Michigan,Ann Harbor, Michigan, 1967
  • 6Schaffer J D. Multiple objective optimization with vector evaluated genetic algorithms [A]. Genetic Algorithms and their Applications: Proceeding of the First International Conference on Genetic Algorithms [C], Lawrence Erlbaum, 1985. 93~ 100
  • 7Veldhuizen D A V, Lamont G B. Multiobjective evolutionary algorithm research: a history and analysis [R].TR-98-03, Department of Electrical and Computer Engineering, Graduate School of Engineering, Air Force Institute of Technology, Wright Patterson AFB, OH,USA, 1998
  • 8Fonseca C M, Fleming P J. Genetic algorithms for multiobjective optimization: formulation, discussion and generation [A]. Forrest S. Proceedings of the Fifth International Conference on Genetic Algorithms [C], SanMateo, California, University of Illinois at Urbana Champaign, Morgan Kaufman Publishers, 1993. 416~423
  • 9Srinivas N, Kalyanmoy D. Multiobjective optimization using nondominated sorting in genetic algorithms [J].Evolutionary Computation, 1994, 2(3): 221~248
  • 10Horn J, Nafpliotis N. Multiobjective optimization using the Riched Pareto genetic algorithm [R]. Technical Report IlliGAL Report 93005, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA, 1993

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