Analysis of Linsker's Simulations of Hebbian Rules. - David J. C. MacKay; Kenneth D. Miller (Neural Comput., 1990)

Unsupervised Classifiers, Mutual Information and 'Phantom Targets'. - John S. Bridle; Anthony J. R. Heading; David J. C. MacKay (NIPS, 1991)

Bayesian Model Comparison and Backprop Nets. - David J. C. MacKay (NIPS, 1991)

Bayesian Interpolation. - David J. C. MacKay (Neural Comput., 1992)

A Practical Bayesian Framework for Backpropagation Networks. - David J. C. MacKay (Neural Comput., 1992)

Information-Based Objective Functions for Active Data Selection. - David J. C. MacKay (Neural Comput., 1992)

The Evidence Framework Applied to Classification Networks. - David J. C. MacKay (Neural Comput., 1992)

Bayesian regularisation methods in a hybrid MLP-HMM system. - Steve Renals; David J. C. MacKay (EUROSPEECH, 1993)

A Free Energy Minimization Framework for Inference Problems in modulo 2 Arithmetic. - David J. C. MacKay (FSE, 1994)

The Role of Constraints in Hebbian Learning. - Kenneth D. Miller; David J. C. MacKay (Neural Comput., 1994)

Good Codes Based on Very Sparse Matrices. - David J. C. MacKay (IMACC, 1995)

Bayesian Methods for Mixtures of Experts. - Steve R. Waterhouse; David J. C. MacKay; Anthony J. Robinson (NIPS, 1995)

Developments in Probabilistic Modelling with Neural Networks - Ensemble Learning. - David J. C. MacKay (SNN Symposium on Neural Networks, 1995)

A hierarchical Dirichlet language model. - David J. C. MacKay; Linda C. Bauman Peto (Nat. Lang. Eng., 1995)

Equivalence of Linear Boltzmann Chains and Hidden Markov Models. - David J. C. MacKay (Neural Comput., 1996)

A Revolution: Belief Propagation in Graphs with Cycles. - Brendan J. Frey; David J. C. MacKay (NIPS, 1997)

Introduction to Monte Carlo Methods. - David John Cameron MacKay (Learning in Graphical Models, 1998)

Low-density parity check codes over GF(q). - Matthew C. Davey; David J. C. MacKay (IEEE Commun. Lett., 1998)

Turbo Decoding as an Instance of Pearl's "Belief Propagation" Algorithm. - Robert J. McEliece; David J. C. MacKay; Jung-Fu Cheng (IEEE J. Sel. Areas Commun., 1998)

Choice of Basis for Laplace Approximation. - David J. C. MacKay (Mach. Learn., 1998)

Interpolation models with multiple hyperparameters. - David J. C. MacKay; Ryo Takeuchi (Stat. Comput., 1998)

The Nonnegative Boltzmann Machine. - Oliver B. Downs; David J. C. MacKay; Daniel D. Lee (NIPS, 1999)

Comparison of Approximate Methods for Handling Hyperparameters. - David J. C. MacKay (Neural Comput., 1999)

Comparison of constructions of irregular Gallager codes. - David J. C. MacKay; Simon T. Wilson; Matthew C. Davey (IEEE Trans. Commun., 1999)

Good Error-Correcting Codes Based on Very Sparse Matrices. - David J. C. MacKay (IEEE Trans. Inf. Theory, 1999)

Dasher - a data entry interface using continuous gestures and language models. - David J. Ward; Alan F. Blackwell; David J. C. MacKay (UIST, 2000)

Variational Gaussian process classifiers. - Mark N. Gibbs; David J. C. MacKay (IEEE Trans. Neural Networks Learn. Syst., 2000)

Almost-Certainly Runlength-Limiting Codes. - David J. C. MacKay (IMACC, 2001)

Model fitting as an aid to bridge balancing in neuronal recording. - Virginia R. de Sa; David J. C. MacKay (Neurocomputing, 2001)

Reliable communication over channels with insertions, deletions, and substitutions. - Matthew C. Davey; David J. C. MacKay (IEEE Trans. Inf. Theory, 2001)

Errata for "Good error-correcting codes based on very sparse matrices". - David J. C. MacKay (IEEE Trans. Inf. Theory, 2001)

A decomposition model to track gene expression signatures: preview on observer-independent classification of ovarian cancer. - Ann-Marie Martoglio; James W. Miskin; Stephen K. Smith; David J. C. MacKay (Bioinform., 2002)

Fast Hands-free Writing by Gaze Direction - David J. Ward; David J. C. MacKay (CoRR, 2002)

Performance of low density parity check codes as a function of actual and assumed noise levels. - David J. C. MacKay; Christopher P. Hesketh (MFCSIT, 2002)

Weaknesses of Margulis and Ramanujan-Margulis low-density parity-check cCodes. - David J. C. MacKay; Michael S. Postol (MFCSIT, 2002)

Dasher: A Gesture-Driven Data Entry Interface for Mobile Computing. - David J. Ward; Alan F. Blackwell; David J. C. MacKay (Hum. Comput. Interact., 2002)

Information theory, inference, and learning algorithms. - David J. C. MacKay (Cambridge University Press, 2003)

Sparse low-density parity-check codes for channels with cross-talk. - Edward A. Ratzer; David J. C. MacKay (ITW, 2003)

Efficient Communication by Breathing. - Tom Shorrock; David J. C. MacKay; Chris Ball (Deterministic and Statistical Methods in Machine Learning, 2004)

Eye tracking off the shelf. - Dan Witzner Hansen; David J. C. MacKay; John Paulin Hansen; Mads Nielsen (ETRA, 2004)

Modelling Uncertainty in the Game of Go. - David H. Stern; Thore Graepel; David J. C. MacKay (NIPS, 2004)

Sparse-graph codes for quantum error correction. - David J. C. MacKay; G. Mitchison; P. L. McFadden (IEEE Trans. Inf. Theory, 2004)

Nested sampling for Potts models. - Iain Murray 001; David J. C. MacKay; Zoubin Ghahramani; John Skilling (NIPS, 2005)

MCMC for Doubly-intractable Distributions. - Iain Murray 001; Zoubin Ghahramani; David J. C. MacKay (UAI, 2006)

The Gaussian Process Density Sampler. - Ryan Prescott Adams; Iain Murray 001; David J. C. MacKay (NIPS, 2008)

Gaussian Process Robust Regression for Noisy Heart Rate Data. - Oliver Stegle; Sebastian V. Fallert; David J. C. MacKay; Søren Brage (IEEE Trans. Biomed. Eng., 2008)

Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities. - Ryan Prescott Adams; Iain Murray 001; David J. C. MacKay (ICML, 2009)

Predicting and understanding the stability of G-quadruplexes. - Oliver Stegle; Linda Payet; Jean-Louis Mergny; David J. C. MacKay; Julian Leon Huppert (Bioinform., 2009)

Fast and flexible selection with a single switch - Tamara Broderick; David John Cameron MacKay (CoRR, 2009)

Speech dasher: fast writing using speech and gaze. - Keith Vertanen; David J. C. MacKay (CHI, 2010)

Elliptical slice sampling. - Iain Murray 001; Ryan Prescott Adams; David J. C. MacKay (AISTATS, 2010)

Speech dasher: a demonstration of text input using speech and approximate pointing. - Keith Vertanen; David J. C. MacKay (ASSETS, 2014)

Improving PPM with Dynamic Parameter Updates. - Christian Steinruecken; Zoubin Ghahramani; David J. C. MacKay (DCC, 2015)

Modelling Noise-Resilient Single-Switch Scanning Systems. - Emli-Mari Nel; Per Ola Kristensson; David J. C. MacKay (CoRR, 2017)

The Statistical Model for Ticker, an Adaptive Single-Switch Text-Entry Method for Visually Impaired Users. - Emli-Mari Nel; Per Ola Kristensson; David J. C. MacKay (CoRR, 2018)

Ticker: An Adaptive Single-Switch Text Entry Method for Visually Impaired Users. - Emli-Mari Nel; Per Ola Kristensson; David J. C. MacKay (IEEE Trans. Pattern Anal. Mach. Intell., 2019)