S4VM算法(Matlab)

上传者: bxhhd128126 | 上传时间: 2019-12-21 18:48:22 | 文件大小: 274KB | 文件类型: rar
在过去的十年中,为了解决半监督支持向 量机某一方面的特定问题,出现了很多改进版本,如针对半监督支持向量机效率低下的问题,提出了meanS3VM 算法;针对利用无标记数据时会产生性能下降的问题,提出了S4VM 算法;针对代价敏感的问题,提出了CS4VM 算法。 S4VM 对传统的S3VM 进行了改进。传统的S3VM 基于低密度假设,它试图找到一个低密度的分界线,也就是更倾向于决策边界穿过特征空间的低密度区域。S4VM 和S3VM 的不同点在于,S3VM 试图把注意力 集中在一个最优的低密度分界线上,而S4VM 则同时关注多个可能的低密度分界线。 本算法给出了详细的S4VM算法,并附一demo展示效果,加深理解

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资源详情

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评论信息

  • DigitalFor :
    可以用,效果也不错
    2019-08-17
  • ssy1984220 :
    非常不错,可以使用!
    2019-05-26
  • weixin_42069044 :
    不错,值得拥有
    2018-12-05
  • down3210 :
    资源不错,谢谢分享
    2016-08-08
  • 元气少女缘结神 :
    很好 能运行 safe semi-supervised SVM
    2016-05-24

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