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3下载：
稀疏贝叶斯学习的代码，出自UCLA，大家可以下载-sparse bayesian learning
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实现有效的学习算法 的稀疏贝叶斯模型，即稀疏贝叶斯matlab工具箱-"SparseBayes" is a package of Matlab functions designed to implement
an efficient learning algorithm for "Sparse Bayesian" models.
The "Version 2" package is an expanded imple
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相关向量机用于分类，可用于稀疏贝叶斯学习的研究，文章内含有RVM代码-Relevance vector machine for classification, can be used to study the sparse Bayesian learning, the article contains RVM code
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这是一篇论文中实验部分的源代码，希望对学习压缩感知的同学有帮助(The experimental part of the source code,Article title is Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG Via Block Sparse Bayesian Learning.)
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