RVM2

代码说明：

  基于稀疏贝叶斯框架的机器学习算法，能有效用于回归和分类预测，具有较强的泛化性(Machine learning algorithm based on sparse Bayesian framework, can effectively be used for regression and classification forecast has good generalization)

文件列表：

SB2_Release_200
...............\licence.txt,15402,2007-04-30
...............\Readme.txt,2740,2009-03-13
...............\SB2_ControlSettings.m,4564,2009-03-13
...............\SB2_Diagnostic.m,3845,2009-03-13
...............\SB2_FormatTime.m,1627,2009-03-13
...............\SB2_FullStatistics.m,6006,2009-03-13
...............\SB2_Initialisation.m,7449,2009-03-13
...............\SB2_Likelihoods.m,2240,2009-03-13
...............\SB2_Manual.pdf,133380,2009-03-12
...............\SB2_ParameterSettings.m,3155,2009-03-13
...............\SB2_PosteriorMode.m,6419,2009-03-13
...............\SB2_PreProcessBasis.m,1898,2009-03-13
...............\SB2_Sigmoid.m,1145,2009-03-13
...............\SB2_UserOptions.m,5926,2009-03-13
...............\SparseBayes.m,25270,2009-03-13
...............\SparseBayesDemo.m,9814,2009-03-13