Project details for BRML toolbox

Logo BRML toolbox 070711

by DavidBarber - July 17, 2011, 19:30:15 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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Description:

The toolbox contains routines for manipulating probabilities and forming structured distributions. The code accompanies a textbook on Bayesian Reasoning and Machine Learning which is freely available from the project website. There is an emphasis on discrete variables, though the software is extendible to continuous distributions as well. Standard methods are supported including Junction Trees, Influence Diagrams, Markov Decision Processes, Factor Graphs, Hidden Markov models, Linear Dynamical Systems, Switching LDSs, PCA with missing data, various matrix factorisation routines and many more.

Changes to previous version:

Fixed some small bugs and updated some demos.

BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Agnostic
Data Formats: Matlab
Tags: Kalman Filter, Machine Learning, Exact Bayesian Methods, Approximate Inference, Bayesian Networks, Factor Graphs, Junction Tree, Exact Inference, Hidden Markov Model, Gaussian Processes, Markov Networ
Archive: download here

Other available revisons

Version Changelog Date
070711

Fixed some small bugs and updated some demos.

July 17, 2011, 19:30:15
061010

Initial Announcement on mloss.org.

October 14, 2010, 17:51:48

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