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- 47.7: Fast encoding of lowdensity paritycheck codes 569 difference set cyclic codes
- Density Networks David J.C. MacKay and Mark N. Gibbs
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- Electronic Notes in Theoretical Computer Science 74 (2003) URL: http://www.elsevier.nl/locate/entcs/volume74.html 8 pages
- Electronic Notes in Theoretical Computer Science 74 (2003) URL: http://www.elsevier.nl/locate/entcs/volume74.html 8 pages
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- Almost-certainly Runlength-limiting Codes David J. C. MacKay
- An Alternative to Runlength-limiting Codes: Turn Timing Errors into Substitution Errors
- Sparse-Graph Codes for Quantum Error-Correction David J.C. MacKay
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- "!#$&%(') 0$1!#!# 234%65879A@B%C10$#D5C EFGIHPQ5CR5C#
- Bayesian Approximation Theory David J.C. MacKay
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- Decision theory a simple example David MacKay, Cavendish Laboratory, August 6, 2001
- Solution of a Toy Problem by Reinforcement Learning David MacKay, Iain Murray, and Peter Latham
- Fast Hands-free Writing by Gaze Direction Nature 418, p. 838 (22nd August 2002). www.nature.com
- Copyright David JC MacKay 2009. This electronic copy is provided, free, for personal use only. See www.withouthotair.com. Sustainable Energy --without the hot air
- Ergodic Pumping: a mechanism to drive biomolecular conformation changes
- 8. Nguyen-Legros, J. & Hicks, D. Int. Rev. Cytol. 196, 245313 (2000).
- On the Computation of the Minimum Distance of Low-Density Parity-Check Codes
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- Part III Physics exams 20042006 Information Theory, Pattern Recognition and Neural Networks
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- Another Onebutton Dynamic Mode for Dasher: `Twoclick mode'
- Dasher in Korean David J.C. MacKay
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- SparseGraph Codes for Quantum ErrorCorrection David J.C. MacKay
- Dasher's Onebutton Dynamic Mode --Theory and Preliminary Results
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- Underestimation of the UK Tidal David J.C. MacKay
- Putting error bars on a cumulative distribution David J.C. MacKay March 21, 2006
- A Free Energy Minimization Algorithm for Decoding and Cryptanalysis
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- Investigation of vibrational theory of olfaction with variously labelled benzaldehydes
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- Ergodic Pumping: a mechanism to drive biomolecular conformation changes
- Ergodic Pumping: a mechanism to drive biomolecular conformation changes
- Natural Language Engineering 1 (1): 000--000 c fl 1994 Cambridge University Press 1
- 12 RELIABLE COMMUNICATION OVER CHANNELS WITH INSERTIONS, DELETIONS AND SUBSTITUTIONS tropy depends on the choice of n and q, and the channel
- Bibliography [1] Y.S. AbuMostafa (1990). The Vapnik--Chervonenkis dimension: information versus
- TrellisConstrained Codes Brendan J. Frey
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- The Power of Mathematics JOHN CONWAY
- Gallager Codes Recent Results David J. C. MacKay (mackay@mrao.cam.ac.uk)
- Copyright David JC MacKay 2009. This electronic copy is provided, free, for personal use only. See www.withouthotair.com. Sustainable Energy --without the hot air
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- Information Theory, Pattern Recognition and Neural Networks Handout 3 March 8, 2007
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- Electronic Notes in Theoretical Computer Science 74 (2003) URL: http://www.elsevier.nl/locate/entcs/volume74.html 8 pages
- Ensemble Learning for Independent Component Analysis
- Solution of a Toy Problem by Reinforcement Learning David MacKay, Iain Murray, and Peter Latham
- Likelihood--based Boosting Radford M. Neal
- A Recurrent Neural Network for Modelling Dynamical Systems Coryn A.L. BailerJones \Lambday , David J.C. MacKay z
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- Nested Sampling Figures by David MacKay.
- Everyone Should Get an A David MacKay
- Maximum Likelihood and Covariant Algorithms for Independent Component Analysis
- 44 BAYESIAN METHODS FOR ADAPTIVE MODELS 20 30 40 50 60 70 80 90 100 110
- Turbo Codes are Low Density Parity Check Codes David J. C. MacKay
- E#cient communication by breathing Tom H. Shorrock, David J.C. MacKay, and Chris J. Ball
- BioNet'96: Third Workshop `BioInformatics and Pulspropagating Networks' 14.15. Nov. 1996, Berlin Associative memory using action potential timing
- Solution to Exercise 5.29, page 103, Information Theory, Inference, and Learning Algorithms, by David MacKay.
- About Chapter 50 The following exercise provides a helpful background for digital fountain codes.
- To appear in IEEE J. Selected Areas in Communication. Draft of August 13, 1997 11:06 a.m.
- UNIVERSITY OF CAMBRIDGE PROGRAMME FOR INDUSTRY
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- Turbo Codes are Low Density Parity Check Codes David J. C. MacKay
- Sparse-Graph Codes for Quantum Error-Correction David J.C. MacKay
- Errata for the paper: Good Error-Correcting Codes
- The spatial arrangement of cones in the fovea: Bayesian David J.C. MacKay
- Time Warp Invariance by Recoding Time Delays into Time Delays
- The Nonnegative Boltzmann Machine Oliver B. Downs
- Please write your report using LATEX David J.C. MacKay
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- Information Theory, Pattern Recognition and Neural Networks Part III Physics, January 2008
- Near Shannon Limit Performance of Low Density Parity Check Codes
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- Information Theory, Pattern Recognition and Neural Networks Part III Physics & Engineering, January 2009
- Infrared magnituderedshift relations for luminous radio galaxies K. J. Inskip,1P
- The Role of Constraints in Hebbian Learning Kenneth D. Miller y
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- To appear in Neurocomputing
- Neural Network Image Deconvolution John E. Tansley, Martin J. Oldfield and David J.C. MacKay \Lambda
- Notes by David JC MacKay www.withouthotair.com
- Maximum Entropy Connections Maximum entropy estimation of probability distributions constitutes a theo-
- Low Density Parity Check Codes over GF (q) David J.C. MacKay
- Capacity of Insertion and Deletion Channels David Leigh
- 1.1 The need for Occam's razor There are countless problems in science, statistics and technology which require that, given
- Decoding Shortened Cyclic Codes by Belief Propagation Simon T. Wilson and David J.C. MacKay
- Decision theory --a simple example David MacKay, Cavendish Laboratory, August 6, 2001
- Local Minima, Symmetrybreaking, and Model Pruning in Variational Free Energy Minimization
- Part III Physics exams 2004--2006 Information Theory, Pattern Recognition and Neural Networks
- Failures of the OneStep Learning Algorithm David J.C. MacKay
- The mutual information between X and Y is I(X; Y ) H(X) -H(X|Y ),
- Information Theory, Pattern Recognition and Neural Networks Sketch of expected answers
- 34 BAYESIAN METHODS FOR ADAPTIVE MODELS A Practical Bayesian Framework
- Density Networks and their Application to Protein Modelling David J.C. MacKay
- Information--based objective functions for active data selection David J.C. MacKay
- Bayesian analysis of linear phasedarray radar Andrew G. Green \Lambda and David J.C. MacKay y
- Choice of Basis for Laplace Approximation David J.C. MacKay
- Power translation chart kWh/d/p GW / UK TWh/y / UK Mtoe/y / UK
- A Comment on Data Shu ing David J. C. MacKay & Virginia R. de Sa & Christopher deCharms
- Power translation chart kWh/d each GW / UK TWh/y / UK Mtoe/y / UK
- Information Theory, Pattern Recognition and Neural Networks
- Efficient communication by breathing Tom H. Shorrock, David J.C. MacKay, and Chris J. Ball
- Information Theory, Pattern Recognition and Neural Networks
- Electronic Notes in Theoretical Computer Science 74 (2003) URL: http://www.elsevier.nl/locate/entcs/volume74.html 8 pages
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- Variational Gaussian Process Classifiers Mark N. Gibbs
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- Good Error{Correcting Codes based on Very Sparse Matrices
- Generalization Error and the Number of Hidden units in a Multilayer David J.C. MacKay
- 18 BAYESIAN METHODS FOR ADAPTIVE MODELS Typically, ff is not known a priori, and often fi is also unknown. As ff is varied, the
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- Darwin Magazine Puzzle The Transatlantic Cable
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- Local Minima, Symmetry-breaking, and Model Pruning in Variational Free Energy Minimization
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- Inferring an Inputdependent Noise Level
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- 26 BAYESIAN METHODS FOR ADAPTIVE MODELS 15 20 25 30 35 40 45 50 55
- Information Theory, Pattern Recognition and Neural Networks Handout 2 February 5, 2008
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- Sustainable Energy without the hot air David J.C. MacKay
- Dasher's One-button Dynamic Mode Theory and Preliminary Results
- Ergodic Pumping: a mechanism to drive biomolecular conformation changes
- Efficient Communication Through The Timings of One Or Two Buttons
- Another One-button Dynamic Mode for Dasher: `Two-click mode'
- Information Theory, Pattern Recognition and Neural Networks Handout 2 February 23, 2007
- 82 BAYESIAN METHODS FOR ADAPTIVE MODELS It is common that, following several years' devotion to a religion, a student's views about
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- Bayesian Interpolation Although Bayesian analysis has been in use since Laplace, the Bayesian method
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- Probabilistic Networks: New Models and New Methods David J.C. MacKay
- Failures of the One-Step Learning Algorithm David J.C. MacKay
- Bayes or chi-squared? Or does it not matter? David J.C. MacKay July 12, 2005
- Ensemble Learning for Hidden Markov Models
- Comparison of Constructions of Irregular Gallager Codes
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- Bayesian Comparison of Models for Images Alex H. Barnett and David J.C. MacKay
- INTRODUCTION TO GAUSSIAN PROCESSES DAVID J.C. MACKAY
- Michael Luby Digital Fountain, Inc.
- Probable networks and plausible predictions ---a review of practical Bayesian methods for
- Relationships between Sparse Graph Codes David J.C. MacKay
- Evaluation of Gallager Codes for Short Block Length and High Rate Applications
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- LowDensity ParityCheck Codes Robert G. Gallager
- Bayesian Model Comparison and Backprop Nets David J.C. MacKay
- Error Correcting Codes Probability Propagation
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- Rate of Information Acquisition by a Species subjected to Natural Selection
- Bayesian Interpolation David J.C. MacKay
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- Model fitting as an Aid to Capacitance Compensation and Bridge Balancing in Neuronal Recording
- David J.C. MacKay Papers in refereed journals
- Efficient communication with one or two buttons David J.C. MacKay # , Chris J. Ball # and Mick Donegan +
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- 140 heads in 250 tosses suspicious? A statistical statement appeared in The Guardian on Friday January 4, 2002
- Information Theory, Pattern Recognition and Neural Networks Handout 2 February 5, 2008
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- Developments in Probabilistic Modelling with Neural
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- Information Theory, Pattern Recognition and Neural Networks (April 2001)
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- A Free Energy Minimization Framework for Inference Problems in Modulo 2 Arithmetic
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- Solution to Exercise 5.29, page 103, Information Theory, Inference, and Learning Algorithms, by David MacKay.
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- Are Restricted Boltzmann Machines Universal? David J.C. MacKay
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- NATURAL SCIENCES TRIPOS Part III Tuesday 25 April 2006 9.00 to 12.00
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