Description: "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
To Search:
File list (Check if you may need any files):
SparseBayes\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
SparseBayes
Download