A Deep Connection Between the Vapnik–Chervonenkis Entropy and the Rademacher Complexity

著录项

• 来源
  《Neural Networks and Learning Systems, IEEE Transactions on》 |2014年第12期|2202-2211|共10页
• 作者

  Anguita D.; Ghio A.; Oneto L.; Ridella S.;

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• 作者单位

  Department of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture, University of Genova, Genova, Italy;

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• 收录信息
• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  Annealing; Complexity theory; Entropy; Hamming distance; Learning systems; Statistical learning; Upper bound; Complexity measures; Rademacher complexity; Vapnik-Chervonenkis (VC) entropy.; Vapnik???Chervonenkis (VC) entropy; statistical learning theory;

  机译：退火;复杂性理论;熵;哈明距离;学习系统;统计学习;上限;复杂性度量;Rademacher复杂性;Vapnik-Chervonenkis（VC）熵;Vapnik ??? Chervonenkis（VC）熵;统计学习理论;