SparseBayes

  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 implementation of the algorithm detailed in: Tipping, M. E. and A. C. Faul (2003). "Fast marginal likelihood maximisation for sparse Bayesian models." In C. M. Bishop and B. J. Frey (Eds.), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, Key West, FL, Jan 3-6. This paper, the accompanying code, and further information regarding Sparse Bayesian models)

SparseBayes
...........\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