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`David MacKay
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`2001 2006 2007
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`·LaTeX / BibTex
`·Information theory/NN teaching software
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`·Error-correcting codes
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`The old bigback Bayesian neural network
`simulator. source code for bigback5. information
`(not up to date). I wrote bigback to develop and
`test the ideas of my phd, for research purposes
`only. I used it to make my winning entry in the
`prediction competition. It can implement
`Bayesian methods for regression nets and
`classifiers but is a research tool only.
`Commercial users are asked to send a donation
`to support my research if they use this software.
`Anyone interested in non-linear data modelling
`with neural networks is encouraged to look into
`Gaussian processes.
`Bigback has been used to create several
`Materials Modelling Algorithms. See Materials
`Algorithms Project website then go to Neural
`networks section
`macopt: A conjugate gradient optimizer that I
`wrote, which only makes use of gradient
`information and doesn't need a routine that
`returns the function value. More information
`about macopt.
`Free Energy Code tar. (For decoding and
`cryptanalysis. Please contact me before taking
`this code.)
`Software for simulation of MN codes and GL
`codes (almost the best error correcting
`codes in the world!) tar. (c) David MacKay
`and Radford Neal.
`see also Radford Neal's software
`A couple of codes for use with the above MN/GL
`software can be found here: tar. Or you can get
`individual files here directory. There are three
`files for each code: A, Cn and G. A is the parity
`check matrix, and G is the generator matrix.
`See also Encyclopedia of sparse graph codes.
`
`Perl code
`
`I have written tons of perl programs, which you can find here.
`All supplied without warranty. (Get perl here)
`
`The Inference Group is supported by the Gatsby
`Foundation
`and by a partnership award from IBM Zurich
`Research Laboratory
`
`Hughes, Exh. 1065, p. 1
`
`
`
`David J.C. MacKay
`Site last modified Wed Nov 16 18:07:29 GMT 2005
`
`Hughes, Exh. 1065, p. 2
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