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NetLab

Matlab code from Aston University for supervised and unsupervised learning with neural networks and other models using Bayesian methods.

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Matlab code for Stepwise Forward and Backward Selection (SFS/SBS) of features using linear regression.

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BAG of STATistical routines written in Matlab for linear regression, feature selection, generation of data, significance testing

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Matlab toolbox for multivariate autoregressive modelling and (cross)-spectral estimation.

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Matlab toolbox for multivariate autoregessive modelling and (cross)-spectral estimation based on variational Bayes models of Penny and Roberts.

 

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Matlab toolbox for Hidden Markov Modelling using Max. likelihood EM. Prerequisites: Matlab 5.0, System Identification Toolbox, Netlab, Marbox.

 

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Matlab toolbox for Hidden Markov Modelling using Max. Aposteriori EM.Prerequisites: Matlab 5.0, Netlab.

 

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Matlab toolbox for Hidden Markov Modelling using Variational Bayes.Prerequisites: Matlab 5.0,Netlab.

 

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 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

 

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 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

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Matlab Dynamic Bayes Nets toolBOX. An attempted unification of the majority of the Bayesian approaches in the other toolboxes in one

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Matlab toolbox for AR models with variational Bayes, based on papers of Penny, Roberts.

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Matlab toolbox for generalized AR models (mixture of normals noise model) with variational Bayes, based on papers of Penny, Roberts and Rezek.

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