NetLab
Matlab code from Aston University for supervised and unsupervised learning with neural networks and other models using Bayesian methods.
Matlab code for Stepwise Forward and Backward Selection (SFS/SBS) of features using linear regression.
BAG of STATistical routines written in Matlab for linear regression, feature selection, generation of data, significance testing
Matlab toolbox for multivariate autoregressive modelling and (cross)-spectral estimation.
Matlab toolbox for multivariate autoregessive modelling and (cross)-spectral estimation based on variational Bayes models of Penny and Roberts.
Matlab toolbox for Hidden Markov Modelling using Max. likelihood EM. Prerequisites: Matlab 5.0, System Identification Toolbox, Netlab, Marbox.
Matlab toolbox for Hidden Markov Modelling using Max. Aposteriori EM.Prerequisites: Matlab 5.0, Netlab.
Matlab toolbox for Hidden Markov Modelling using Variational Bayes.Prerequisites: Matlab 5.0,Netlab.
Matlab toolbox for Coupled Hidden Markov Modelling using Max. likelihood EM. The CHMM topology has 2 chains and lag 1. Belief propagation is performed using node clustering. Prerequisites: Matlab 5.0, System Identification Toolbox, Netlab, Marbox, Hmmbox 3.2
Matlab toolbox for Coupled Hidden Markov Modelling using Max. Aposteriori EM. The CHMM topology has 2 chains and lag 1. Belief propagation is performed using node clustering. Prerequisites: Matlab 5.0, Netlab
Matlab Dynamic Bayes Nets toolBOX. An attempted unification of the majority of the Bayesian approaches in the other toolboxes in one
Matlab toolbox for AR models with variational Bayes, based on papers of Penny, Roberts.
Matlab toolbox for generalized AR models (mixture of normals noise model) with variational Bayes, based on papers of Penny, Roberts and Rezek.