文件名称:SB2_Release_200
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SparseBayesDemo,用于学习稀疏贝叶斯算法的工具，由RVM算法开发者Tipping开发-"SparseBayes" is a package of Matlab functions designed to implement
an efficient learning algorithm for "Sparse Bayesian" models.
an efficient learning algorithm for "Sparse Bayesian" models.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
SB2_Release_200/licence.txt
SB2_Release_200/Readme.txt
SB2_Release_200/SB2_ControlSettings.m
SB2_Release_200/SB2_Diagnostic.m
SB2_Release_200/SB2_FormatTime.m
SB2_Release_200/SB2_FullStatistics.m
SB2_Release_200/SB2_Initialisation.m
SB2_Release_200/SB2_Likelihoods.m
SB2_Release_200/SB2_Manual.pdf
SB2_Release_200/SB2_ParameterSettings.m
SB2_Release_200/SB2_PosteriorMode.m
SB2_Release_200/SB2_PreProcessBasis.m
SB2_Release_200/SB2_Sigmoid.m
SB2_Release_200/SB2_UserOptions.m
SB2_Release_200/SparseBayes.m
SB2_Release_200/SparseBayesDemo.m
SB2_Release_200
SB2_Release_200/Readme.txt
SB2_Release_200/SB2_ControlSettings.m
SB2_Release_200/SB2_Diagnostic.m
SB2_Release_200/SB2_FormatTime.m
SB2_Release_200/SB2_FullStatistics.m
SB2_Release_200/SB2_Initialisation.m
SB2_Release_200/SB2_Likelihoods.m
SB2_Release_200/SB2_Manual.pdf
SB2_Release_200/SB2_ParameterSettings.m
SB2_Release_200/SB2_PosteriorMode.m
SB2_Release_200/SB2_PreProcessBasis.m
SB2_Release_200/SB2_Sigmoid.m
SB2_Release_200/SB2_UserOptions.m
SB2_Release_200/SparseBayes.m
SB2_Release_200/SparseBayesDemo.m
SB2_Release_200
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