首页    期刊浏览 2024年12月12日 星期四
登录注册

文章基本信息

  • 标题:Generalization Bounds for Coregularized Multiple Kernel Learning
  • 作者:Xinxing Wu ; Guosheng Hu
  • 期刊名称:Computational Intelligence and Neuroscience
  • 印刷版ISSN:1687-5265
  • 电子版ISSN:1687-5273
  • 出版年度:2018
  • 卷号:2018
  • DOI:10.1155/2018/1853517
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Multiple kernel learning (MKL) as an approach to automated kernel selection plays an important role in machine learning. Some learning theories have been built to analyze the generalization of multiple kernel learning. However, less work has been studied on multiple kernel learning in the framework of semisupervised learning. In this paper, we analyze the generalization of multiple kernel learning in the framework of semisupervised multiview learning. We apply Rademacher chaos complexity to control the performance of the candidate class of coregularized multiple kernels and obtain the generalization error bound of coregularized multiple kernel learning. Furthermore, we show that the existing results about multiple kennel learning and coregularized kernel learning can be regarded as the special cases of our main results in this paper.
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有