David MacKay
Publications
Environment and Energy
Information Theory
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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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Book recommendations
Dr. Tatiania's Sex Advice for All Creation,
by Olivia Judson
Teaching Statistics: A Bag of Tricks,
by Andrew Gelman and Deborah Nolan
0198572247
Data Analysis - A Bayesian Tutorial - Second Edition
by Devinderjit Sivia and John Skilling
0198568312
Gaussian Processes for Machine Learning
by Carl Edward Rasmussen and Christopher K. I. Williams 0-262-18253-X
published by
MIT press
. Order from |
amazon.co.uk
/
.com
|
Books written or edited by David MacKay
Power
Edited by Alan Blackwell and David MacKay (ISBN: 0521823773 | ISBN-13:9780521823777)
Price: £25.00
from |
CUP
UK
/
USA
| |
amazon.co.uk
/
.com
/
.ca
/
.co.jp
| |
Barnes and Noble
USA
|
Information Theory, Inference, and Learning Algorithms
by David J. C. MacKay
|
amazon.co.uk
/
.com
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.ca
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.co.jp
| |
Barnes & Noble
Related books
Probability and Computing: Randomized Algorithms and Probabilistic Analysis
by Michael Mitzenmacher and Eli Upfal
amazon.co.uk
/
.com
Probability Theory: The Logic of Science
by E T Jaynes (G.Larry Bretthorst, Editor)
amazon.co.uk
/
.com
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