期刊文献+

机器学习研究 被引量:78

INVESTIGATIONS ON MACHINE LEARNING
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摘要 由于Internet的使用,不分时间与地域地获得信息已成为现实,但是,如何有效利用这些信息,并使用这些信息提高生产率成为迫切需要解决的问题.机器学习是解决这类问题的有效方法之一.在此将对目前机器学习研究的主要趋势、理论与技术以及存在的问题,根据作者的研究经验进行综述,以便引起研究者的注意. As Internet is widely used,human beings can obtain a lot of information conveniently.However,how to use these information effectively and efficiently?Machine learning is just one of the important ways to solve this problem.This paper introduces some theories and future work in the field of machine learning in order to make more people pay attention to it.
作者 王珏 石纯一
出处 《广西师范大学学报(自然科学版)》 CAS 2003年第2期1-15,共15页 Journal of Guangxi Normal University:Natural Science Edition
基金 国家重大基础研究项目基金支持(G1998030508)
关键词 人工智能 机器学习 统计机器学习 符号机器学习 增强机器学习 信息使用 machine learning statistical machine learning symbolic machine learning reinforcement machine learning
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参考文献52

  • 1郭萌,王珏.数据挖掘与数据库知识发现:综述[J].模式识别与人工智能,1998,11(3):292-299. 被引量:41
  • 2赵凯,王珏.适应性计算[J].模式识别与人工智能,2000,13(4):407-414. 被引量:3
  • 3WienerN.控制论(中译本)[M].北京:科学出版社,1962..
  • 4王珏,崔佳,赵凯.Investigation on AQ11, ID3 and the Principle of Discernibility Matrix[J].Journal of Computer Science & Technology,2001,16(1):1-12. 被引量:2
  • 5Yao Y,Lin T. Generalization of rough sets using model logics[J]. Intelligent Automation and Soft Computing, 1996,2(2):103-120.
  • 6Skowron A,Rauszer C. The discernibility matrices and functions in information systems [A]. Slowinski R. Ifitelligent decision support-handbook of applications and advances of the rough sets theory[C]. Dordrecht :Kluwer Academic Publishers, 1992. 331-362.
  • 7Han J,Kamber M. Data mining:Concepts and techniques [M]. San Mateo :Morgan Kaufmann Publishers, 2000.
  • 8Zhou Yu-jian,Wang Jue. Rule + exception modeling based on rough set theory[A]. Polkowski L,Skowron A. Rough sets and current trends in computing[C]. Berlin :Springer, 1998. 529-536.
  • 9Kaelbling L,Littman M ,Moore A. Reinforcement learning :A survey[J]. Journal of Artificail Intelligence Research,1996,4:237-285.
  • 10Arbib M. Brains machines and mathematics[M]. New York :McGraw Hill companies, 1964.

二级参考文献24

  • 1Feng Shan,Tian Yuan,Li Tong & Cai Jun (Institute of System Engineering, Department of Automatic Control Engineering Huazhong University of Science and Technology, Wuhan, Hubei, 430074, P. R. China).Artificial Intelligence Embedded Object-Oriented Methodology For Model Based Decision Support[J].Journal of Systems Engineering and Electronics,1996,7(1):1-14. 被引量:1
  • 2姚新,陈国良,徐惠敏,刘勇.进化算法研究进展[J].计算机学报,1995,18(9):694-706. 被引量:102
  • 3N.维纳 郝季仁译.控制论[M].北京:科学出版社,1985..
  • 4W.R.艾什比.大脑设计-适应性行为的起源[M].北京:商务印书馆,1991..
  • 5Waldrop M.复杂:诞生于秩序与混沌边缘的科学[M].三联书店,1997..
  • 6赵凯.对环境适应性的实验研究.中国科学院自动化所博士论文[M].,1999..
  • 7周育健,硕士学位论文,1996年
  • 8Llanas B, de Sevilla M F. An iterative algorithm for finding a nearest pair of points in two convex subsets of R^n.Computers and Mathematics with Applications, 2000, 40: 971-983.
  • 9Platt J. Fast training of support vector machines using sequential minimal optimization in Advances in Kernel Methods--Support Vector Learning. Scholkopf B, Burges C J C, Smola A J (eds.), Cambridge, MA: MIT Press,1999, pp.185-208.
  • 10Giibert E G. Minimizing the quadratic form on a convex set. SIAM J. Contr., 1966, 4: 61-79.

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