David MacKay
Publications
Environment and Energy
Information Theory
·
Textbook
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Gallager codes & MN codes
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Theory of Sparse Graph codes
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Regular Gallager codes
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Irregular Gallager codes
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Turbo codes
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Insertions and deletions
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Quantum Codes
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Cryptanalysis and Coding
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Discussion documents
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More Message-Passing
Probabilistic Data Modelling
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PhD thesis
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Bayes for neural networks
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ICA & Latent Variable Models
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Bayes FAQ
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Bayesian computations
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Monte Carlo methods
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Variational methods
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Gaussian processes
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Language, Proteins, Density nets
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Images, Radar, Neuroscience
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Materials science
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Decision theory, Fair Elections
Human-computer Interfaces
Computational Neuroscience
Evolution and Molecular Biology
Miscellaneous work
Errata
Software and Files
Recommendations
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Single document
(see also the
ICA & Latent Variable Models
page)
Language modelling and Hidden Markov models
lang4.ps.gz
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PDF
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DJVU
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abstract
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ps mirror, Canada
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`
A Hierarchical Dirichlet Language Model
.' with L.Peto
amino.ps.gz
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PDF
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DJVU
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abstract
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amino.ps.gz
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abstract
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`
Models for Dice Factories and Amino Acid Probabilities.
'. (Unfinished technical report from 1994; this work led to my work on density networks for protein sequences.)
Also, an unfinished addendum,
amino_is.ps.gz
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PDF
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DJVU
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Hidden Markov models
jordan.ps.gz
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abstract
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jordan.ps.gz
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PDF
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DJVU
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abstract
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`
Equivalence of Linear Boltzmann Chains and Hidden Markov Models
'.
ensemblePaper.ps.gz
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abstract
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ensemblePaper.ps.gz
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PDF
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DJVU
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abstract
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`
Ensemble Learning for Hidden Markov Models
'.
Protein sequence modelling and Density Networks
ch_learning.ps.gz
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abstract
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ch_learning.ps.gz
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PDF
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DJVU
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abstract
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`
Bayesian Neural Networks and Density Networks
'.
density.ps.gz
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PDF
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DJVU
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abstract
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ps mirror, Canada
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`
Density Networks and their application to Protein Modelling
' (this version appeared in Maximum Entropy Proceedings)
density97.ps.gz
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PDF
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DJVU
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abstract
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density97.ps.gz
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abstract
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D. MacKay and M. Gibbs (1997): `
Density Networks
'. (this version in proceedings of Edinburgh meeting, ed. Jim Kay)
The Inference Group is supported by the Gatsby Foundation
and by a partnership award from IBM Zurich Research Laboratory
David J.C. MacKay
Site last modified Wed Nov 12 17:38:44 GMT 2014