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
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Variational methods
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Developments in Probabilistic Modelling with Neural Networks - Ensemble Learning
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Ensemble Learning and Evidence Maximization
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Ensemble Learning for Hidden Markov Models
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Variational Gaussian Process Classifiers
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With M.N. Gibbs.
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A Problem with Variational Free Energy Minimization
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`
Compactness of variational approximations
'. By David J C MacKay, Richard Turner, and Maneesh Sahani
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