期刊文献+

再生核希尔伯特空间的子空间与覆盖数

Subspace and covering number of reproducing kernel Hilbert spaces
下载PDF
导出
摘要 针对回归问题的一致性分析,给出再生核希尔伯特空间的子空间及覆盖数的一些重要结论. For consistency analysis of the regression problem, gave some important conclusions about the subspace of reproducing kernel Hilbert space and covering number.
作者 郭芹
出处 《高师理科学刊》 2013年第5期1-5,共5页 Journal of Science of Teachers'College and University
基金 国家自然科学基金资助项目(11071276)
关键词 再生核希尔伯特空间 Mercer核 紧子集 reproducing kernel Hilbert space Mercer kernel compact subset
  • 相关文献

参考文献5

  • 1Zhou D X, Wu Q. Learning with sample dependent hypothesis spaces[J]. Computers and Mathematics with Applications, 2008, 56 ( 11 ) : 2896-2907.
  • 2Sun H W, Wu Q. Application of integral operator for regularized least-square regression[J]. Mathematical and Computer Modelling, 2009, 49 (1) : 276-285.
  • 3Cucker F, Zhou D X. Learning Theory : An Approximation Theory Viewpoint[M]. Cambridge : Cambridge University Press, 2007.
  • 4Smale S, Zhou D X. Learning theory estimates via integral operators and their approximations[J]. Constr Approx, 2007 26 ( 2 ): 153-172.
  • 5郭芹,孙红卫.再生核希尔伯特空间的实解析性[J].高师理科学刊,2013,33(3):5-6. 被引量:1

二级参考文献7

  • 1Hastie T, Tibshirani R, Friedman J. The Elements of Statisical Learning[M]. New York: springer-verlag, 2001.
  • 2Cucker F, Zhou D X. Learning Theory: An Approximation Theory Viewpoint[M]. Cambridge: Cambridge University Press, 2007.
  • 3Smale S, Zhou D X. Learning theopry estimates via integral operators and their approximations[J]. Constr Approx, 2007 ( 26 ) : 153-172.
  • 4Xiao Q W, Zhou D X. Learning by nonsymmetric kernels with data dependent spaces and 1-regularizer[J]. Taiwan Residents Journal of Mathematics, 2010, 14 (5) : 1821-1836.
  • 5Sun H W, Wu Q. A note on application of intergral operator in learning theory[J]. Appl Comput Harmonic Anal, 2009( 3 ) : 416-421.
  • 6郭芹,孙红卫.基于弱相关抽样的系数正则化的一致性分析[J].济南大学学报(自然科学版),2010,24(1):99-103. 被引量:3
  • 7孙红卫,于朝霞.Mercer定理的推广[J].济南大学学报(自然科学版),2004,18(3):280-282. 被引量:4

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