- Information Theory, Pattern Recognition and Neural Networks Part III Physics, January 2007
- An Alternative to Runlength-limiting Codes: Turn Timing Errors into Substitution Errors
- Bayesian Methods for Adaptive Models
- 0.8 0.6 0.4 0.2 0 0.2 0.4 0.6 0.8 1 Figure 1: Toy data from two populations differing by an offset dy
- 1 Random permutations What are the properties of randomly generated permutations of N objects?
- Accumulator Networks B. J. Frey and A. Kannan, NIPS, Nov 2000
- Information Theory, Pattern Recognition and Neural Networks Part III Physics & Engineering, January 2009
- 47.7: Fast encoding of lowdensity paritycheck codes 569 difference set cyclic codes
- Density Networks David J.C. MacKay and Mark N. Gibbs
- FOUNTAIN CODES David J.C. MacKay
- Sustainable Energy without the hot air
- Near Shannon Limit Performance of Low Density Parity Check Codes
- Errata for the paper: Good Error-Correcting Codes
- Optimizing Sparse Graph Codes over GF(q) David J.C. MacKay
- FOUNTAIN CODES David J.C. MacKay
- 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
- Gallager Codes for High Rate Applications DAVID J.C. MACKAY EDWARD A. RATZER
- Decoding Times of Irregular Gallager Codes David J. C. MacKay
- 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
- More Sparse-Graph Codes for Quantum Error-Correction
- Counting Crosswords David J.C. MacKay Jeremy Thorpe
- "!#$&%(') 0$1!#!# 234%65879A@B%C10$#D5C EFGIHPQ5CR5C#
- Bayesian Approximation Theory David J.C. MacKay
- !"#%$&('0) 12!3465879@"#AB379"CD7(4#!2FEHG8I$P79"Q% 5R!&@7S3&
- 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
- Putting error bars on a cumulative distribution David J.C. MacKay March 21, 2006
- 1 Random permutations What are the properties of randomly generated permutations of N objects?
- Part III Physics exams 20042006 Information Theory, Pattern Recognition and Neural Networks
- Bayesian Neural Networks and Density Networks David J.C. MacKay
- Another Onebutton Dynamic Mode for Dasher: `Twoclick mode'
- Dasher in Korean David J.C. MacKay
- More SparseGraph Codes for Quantum ErrorCorrection
- SparseGraph Codes for Quantum ErrorCorrection David J.C. MacKay
- Dasher's Onebutton Dynamic Mode --Theory and Preliminary Results
- Power Crisis Quick Conversion Sheet Mtoe/y / UK
- Bayesian Nonlinear Modelling for the Prediction Competition
- Simple Proofs of a Rectangle Tiling Theorem David J.C. MacKay
- More sensitive tests in DELVE David J.C. MacKay
- Ensemble Learning and Evidence Maximization David J.C. MacKay
- BSC THRESHOLDS FOR CODE ENSEMBLES BASED ON ``TYPICAL PAIRS'' DECODING \Lambda
- Bayesian Methods for Adaptive Models
- Notes by David JC MacKay www.withouthotair.com
- Nested Sampling Figures by David MacKay.
- Good Codes based on Very Sparse Matrices David J.C. MacKay and Radford M. Neal
- A Conversation about the Bethe Free Energy and Sum-Product David J. C. MacKay
- Maximum Likelihood and Covariant Algorithms for Independent Component Analysis
- 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
- 244 IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, VOL. 14, NO. 2, JUNE 2006 DASHER--An Efficient Writing System for
- A Plan with a time-line Draft 3.2, July 21, 2009
- Investigation of vibrational theory of olfaction with variously labelled benzaldehydes
- Big Things that Squeeze Round Corners David J.C. MacKay
- 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
- Dasher -a Data Entry Interface Using Continuous Gestures and Language Models
- 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
- Almostcertainly Runlengthlimiting Codes David J. C. MacKay
- Encyclopedia of Sparse Graph Codes David J. C. MacKay
- Information Theory, Pattern Recognition and Neural Networks Handout 3 March 8, 2007
- Gallager Codes for High Rate Applications DAVID J.C. MACKAY EDWARD A. RATZER
- 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
- Reanalysis of Ha#enden et al (2001) data David J. C. MacKay
- 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
- GAUSSIAN PROCESSES A Replacement for Supervised Neural Networks?
- Sustainable Energy --without the hot air David J.C. MacKay
- Everyone Should Get an A David MacKay
- SOLVING THE SATISFIABILITY PROBLEM USING MESSAGE-PASSING TECHNIQUES
- Are Restricted Boltzmann Machines Universal? David J.C. MacKay
- 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
- Dasher a Data Entry Interface Using Continuous Gestures and Language Models
- Hierarchical Odor or Speech Recognition | Bayesian Inference embodied in Neuronal Spikes
- Information Theory, Pattern Recognition and Neural Networks Part III Physics, January 2008
- Near Shannon Limit Performance of Low Density Parity Check Codes
- A Revolution: Belief Propagation in Graphs With Cycles
- Efficient communication with one or two buttons David J.C. MacKay
- Information Theory, Pattern Recognition and Neural Networks Part III Physics, January 2008
- 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
- Thresholds of Low-Density Parity Check Codes (Discussion Document) DAVID J.C. MACKAY and KAZATUKA NAKAMURA
- 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
- Decoding Times of Repeat--Accumulate Codes David J. C. MacKay
- Variational Gaussian Process Classifiers Mark N. Gibbs
- Codes for Channels with Insertions, Deletions and Substitutions Edward A. Ratzer and David J.C. MacKay
- 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
- A Practical Bayesian Framework for Backprop Networks David J.C. MacKay
- Hands-free Text Entry using Dasher with an Eyetracker David J. Ward and David J.C. MacKay
- Darwin Magazine Puzzle The Transatlantic Cable
- Enhancing Electrical Supply by Pumped Storage in Tidal Lagoons
- Local Minima, Symmetry-breaking, and Model Pruning in Variational Free Energy Minimization
- Shortened Turbo Codes David J.C. MacKay
- Please write your report using L a T E X David J.C. MacKay
- Inferring an Inputdependent Noise Level
- Compactness of variational approximations David J. C. MacKay Richard Turner Maneesh Sahani
- 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
- Reanalysis of Haffenden et al (2001) data David J. C. MacKay
- 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
- The Power of Mathematics JOHN CONWAY
- Exact sampling from non-attractive distributions using summary states Andrew M. Childs, 1 Ryan B. Patterson, 1 and David J. C. MacKay 2
- Bayesian Interpolation Although Bayesian analysis has been in use since Laplace, the Bayesian method
- Punctured and Irregular High-Rate Gallager Codes David J. C. MacKay
- 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
- Please write your report using L A T E X David J.C. MacKay
- 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
- Decoding Times of Irregular Gallager Codes David J. C. MacKay
- LowDensity ParityCheck Codes Robert G. Gallager
- Bayesian Model Comparison and Backprop Nets David J.C. MacKay
- Error Correcting Codes Probability Propagation
- Two Small Gallager Codes David J.C. MacKay and Matthew C. Davey
- Dasher in Korean David J.C. MacKay
- Network 1 (1990) 257-297. Printed in the UI< Analysis of Linsker's application of Hebbian rules to linear
- Information Theory, Pattern Recognition and Neural Networks Handout 2 February 23, 2007
- CALIFORNIA INSTITUTE OF TECHNOLOGY COMPUTATION AND NEURAL SYSTEMS PROGRAM
- Models for Dice Factories and Amino Acid Probability Vectors. Draft David J.C. MacKay
- Comparison of Approximate Methods for Handling Hyperparameters
- How to Parameterize a Two--Dimensional Covariance Matrix David J.C. MacKay
- Bayesian Approximation Theory David J.C. MacKay
- The spatial arrangement of cones in the fovea: Bayesian David J.C. MacKay
- Slice Sampling -a Binary Implementation John Skilling
- (4096,3249) Gallager Codes compared with Tanner Product Codes
- Big Things that Squeeze Round Corners David J.C. MacKay
- A Recurrent Neural Network for Modelling Dynamical Systems Coryn A.L. Bailer-Jones
- Publication quality tables in LATEX* Simon Fear
- Latent Variable Models for Gene Expression Data David J.C. MacKay & James Miskin
- Hyperacuity and Coarse Coding David J. C. MacKay
- Free Energy Minimization Algorithm for Decoding and Cryptanalysis
- Rate of Information Acquisition by a Species subjected to Natural Selection
- Bayesian Interpolation David J.C. MacKay
- Counting Crosswords David J.C. MacKay Jeremy Thorpe
- Sparse Graph Codes David J. C. MacKay (mackay@mrao.cam.ac.uk)
- 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 +
- Compactness of variational approximations David J. C. MacKay Richard Turner Maneesh Sahani
- 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
- Interpolation Models with Multiple Hyperparameters
- (4096,3249) Gallager Codes compared with Tanner Product Codes
- Slice Sampling a Binary Implementation John Skilling
- Developments in Probabilistic Modelling with Neural
- Bayesian Methods for Adaptive Models
- Gallager Codes --Recent Results David J. C. MacKay (mackay@mrao.cam.ac.uk)
- Information Theory, Pattern Recognition and Neural Networks (April 2001)
- 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 Part III Physics, January 2007
- A Free Energy Minimization Framework for Inference Problems in Modulo 2 Arithmetic
- Optimizing Sparse Graph Codes over GF (q) David J.C. MacKay
- SparseGraph Codes for Quantum ErrorCorrection David J.C. MacKay
- On Thresholds of Codes David J.C. MacKay
- 1 The Swendsen--Wang method Several enhancements of Monte Carlo methods are based on a remarkable trick: take
- Solution to Exercise 5.29, page 103, Information Theory, Inference, and Learning Algorithms, by David MacKay.
- How to Parameterize a TwoDimensional Covariance Matrix David J.C. MacKay
- 1 The SwendsenWang method Several enhancements of Monte Carlo methods are based on a remarkable trick: take
- Hyperacuity and Coarse Coding David J. C. MacKay
- Please write your report using LATEX David J.C. MacKay
- Teething problems! | Monte Carlo evaluation of Normalizing David J.C. MacKay
- INTRODUCTION TO MONTE CARLO METHODS D.J.C. MACKAY
- Searching for `optimal' inputs with an empirical regression model
- Fast Handsfree Writing by Gaze Direction Nature 418, p. 838 (22nd August 2002). www.nature.com
- Are Restricted Boltzmann Machines Universal? David J.C. MacKay
- Power Crisis Quick Conversion Sheet Mtoe/y / UK
- NATURAL SCIENCES TRIPOS Part III Tuesday 25 April 2006 9.00 to 12.00
- Information Theory, Pattern Recognition and Neural Networks Handout 3 March 8, 2007
- Under-estimation of the UK Tidal David J.C. MacKay
- UNIVERSITY OF CAMBRIDGE PROGRAMME FOR INDUSTRY
- Informationbased Objective Functions for Active Data
- Enhancing Electrical Supply by Pumped Storage in Tidal Lagoons
- Equivalence of Linear Boltzmann Chains and Hidden Markov Models David J.C. MacKay
- Handsfree Text Entry using Dasher with an Eyetracker David J. Ward and David J.C. MacKay
- The Harvard Family of Bibliography Styles Peter Williams
- Please write your report using LaTE X David J.C. MacKay
- Simple Proofs of a Rectangle Tiling Theorem David J.C. MacKay
- The Nonnegative Boltzmann Machine Oliver B. Downs
