稀疏贝叶斯学习推导过程

版权声明:本文为博主原创文章,未经博主允许不得转载。 https://blog.csdn.net/u012284960/article/details/89293950

前言

稀疏贝叶斯学习(Spare Bayesian Learning),在信号处理所覆盖的多个领域至今都有着重要应用。关于稀疏贝叶斯的详细的介绍,可以参考文献[1][2]。本篇博客给出了简要的稀疏贝叶斯的推导过程, 详细见网址www.qiuyun-blog.cn.

参考文献

[1] Buchgraber T. Variational sparse Bayesian learning: Centralized and distributed processing[M]. na, 2013.
[2] Tipping M E. Sparse Bayesian learning and the relevance vector machine[J]. Journal of machine learning research, 2001, 1(Jun): 211-244.

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