文件名称:SB2_Release_200
介绍说明－－下载内容均来自于网络，请自行研究使用
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
...............\Readme.txt
...............\SB2_ControlSettings.m
...............\SB2_Diagnostic.m
...............\SB2_FormatTime.m
...............\SB2_FullStatistics.m
...............\SB2_Initialisation.m
...............\SB2_Likelihoods.m
...............\SB2_Manual.pdf
...............\SB2_ParameterSettings.m
...............\SB2_PosteriorMode.m
...............\SB2_PreProcessBasis.m
...............\SB2_Sigmoid.m
...............\SB2_UserOptions.m
...............\SparseBayes.m
...............\SparseBayesDemo.m
SB2_Release_200
...............\Readme.txt
...............\SB2_ControlSettings.m
...............\SB2_Diagnostic.m
...............\SB2_FormatTime.m
...............\SB2_FullStatistics.m
...............\SB2_Initialisation.m
...............\SB2_Likelihoods.m
...............\SB2_Manual.pdf
...............\SB2_ParameterSettings.m
...............\SB2_PosteriorMode.m
...............\SB2_PreProcessBasis.m
...............\SB2_Sigmoid.m
...............\SB2_UserOptions.m
...............\SparseBayes.m
...............\SparseBayesDemo.m
SB2_Release_200