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The Bayesian Committee Machine (BCM) is an approximation method for large-scale Gaussian process re

Bayesian Committee Machine
Version 1.0, November 2005

The Bayesian Committee Machine (BCM) is an approximation method for
large-scale Gaussian process regression.

What you should know beforehand:

- The code is for Matlab

- It requires the Netlab toolbox. You can download Netlab from 
  http://www.ncrg.aston.ac.uk/netlab/

- Install Netlab *before* trying to run any of the programs here.

- To get started and to check your installation, try running 'dembcm.m'

- If you are looking for example code to run the BCM, have a look at dembcm.m
  All of the main features are used and explained there.


Relevant publications:

V. Tresp. A bayesian committee machine. Neural Computation, 12, 2000

A. Schwaighofer and V. Tresp. Transductive and inductive methods for
approximate Gaussian process regression. In S. Becker, S. Thrun, and
K. Obermayer, editors, Advances in Neural Information Processing Systems
15. MIT Press, 2003

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