David J. C. MacKay

Publication Activity (10 Years)

Years Active: 1989-2019
Publications (10 Years): 3

Top Topics

Insertions And Deletions

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Emli-Mari Nel, Per Ola Kristensson, David J. C. MacKay
Ticker: An Adaptive Single-Switch Text Entry Method for Visually Impaired Users. IEEE Trans. Pattern Anal. Mach. Intell. 41 (11) (2019)
Emli-Mari Nel, Per Ola Kristensson, David J. C. MacKay
The Statistical Model for Ticker, an Adaptive Single-Switch Text-Entry Method for Visually Impaired Users. CoRR (2018)
Emli-Mari Nel, Per Ola Kristensson, David J. C. MacKay
Modelling Noise-Resilient Single-Switch Scanning Systems. CoRR (2017)
Christian Steinruecken, Zoubin Ghahramani, David J. C. MacKay
Improving PPM with Dynamic Parameter Updates. DCC (2015)
Keith Vertanen, David J. C. MacKay
Speech dasher: a demonstration of text input using speech and approximate pointing. ASSETS (2014)
Iain Murray, Ryan Prescott Adams, David J. C. MacKay
Elliptical slice sampling. AISTATS (2010)
Keith Vertanen, David J. C. MacKay
Speech dasher: fast writing using speech and gaze. CHI (2010)
Oliver Stegle, Linda Payet, Jean-Louis Mergny, David J. C. MacKay, Julian Leon Huppert
Predicting and understanding the stability of G-quadruplexes. Bioinform. 25 (12) (2009)
Ryan Prescott Adams, Iain Murray, David J. C. MacKay
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities. ICML (2009)
Oliver Stegle, Sebastian V. Fallert, David J. C. MacKay, Søren Brage
Gaussian Process Robust Regression for Noisy Heart Rate Data. IEEE Trans. Biomed. Eng. 55 (9) (2008)
Ryan Prescott Adams, Iain Murray, David J. C. MacKay
The Gaussian Process Density Sampler. NIPS (2008)
Iain Murray, Zoubin Ghahramani, David J. C. MacKay
MCMC for Doubly-intractable Distributions. UAI (2006)
Iain Murray, David J. C. MacKay, Zoubin Ghahramani, John Skilling
Nested sampling for Potts models. NIPS (2005)
David H. Stern, Thore Graepel, David J. C. MacKay
Modelling Uncertainty in the Game of Go. NIPS (2004)
David J. C. MacKay, G. Mitchison, P. L. McFadden
Sparse-graph codes for quantum error correction. IEEE Trans. Inf. Theory 50 (10) (2004)
Dan Witzner Hansen, David J. C. MacKay, John Paulin Hansen, Mads Nielsen
Eye tracking off the shelf. ETRA (2004)
Tom Shorrock, David J. C. MacKay, Chris Ball
Efficient Communication by Breathing. Deterministic and Statistical Methods in Machine Learning (2004)
Edward A. Ratzer, David J. C. MacKay
Sparse low-density parity-check codes for channels with cross-talk. ITW (2003)
David J. C. MacKay, Michael S. Postol
Weaknesses of Margulis and Ramanujan-Margulis low-density parity-check cCodes. Electron. Notes Theor. Comput. Sci. 74 (2002)
David J. Ward, David J. C. MacKay
Fast Hands-free Writing by Gaze Direction CoRR (2002)
Ann-Marie Martoglio, James W. Miskin, Stephen K. Smith, David J. C. MacKay
A decomposition model to track gene expression signatures: preview on observer-independent classification of ovarian cancer. Bioinform. 18 (12) (2002)
David J. Ward, Alan F. Blackwell, David J. C. MacKay
Dasher: A Gesture-Driven Data Entry Interface for Mobile Computing. Hum. Comput. Interact. 17 (2-3) (2002)
David J. C. MacKay, Christopher P. Hesketh
Performance of low density parity check codes as a function of actual and assumed noise levels. Electron. Notes Theor. Comput. Sci. 74 (2002)
Matthew C. Davey, David J. C. MacKay
Reliable communication over channels with insertions, deletions, and substitutions. IEEE Trans. Inf. Theory 47 (2) (2001)
David J. C. MacKay
Almost-Certainly Runlength-Limiting Codes. IMACC (2001)
Virginia R. de Sa, David J. C. MacKay
Model fitting as an aid to bridge balancing in neuronal recording. Neurocomputing (2001)
David J. C. MacKay
Errata for "Good error-correcting codes based on very sparse matrices". IEEE Trans. Inf. Theory 47 (5) (2001)
Mark N. Gibbs, David J. C. MacKay
Variational Gaussian process classifiers. IEEE Trans. Neural Networks Learn. Syst. 11 (6) (2000)
David J. Ward, Alan F. Blackwell, David J. C. MacKay
Dasher - a data entry interface using continuous gestures and language models. UIST (2000)
David J. C. MacKay, Simon T. Wilson, Matthew C. Davey
Comparison of constructions of irregular Gallager codes. IEEE Trans. Commun. 47 (10) (1999)
David J. C. MacKay
Comparison of Approximate Methods for Handling Hyperparameters. Neural Comput. 11 (5) (1999)
David J. C. MacKay
Good Error-Correcting Codes Based on Very Sparse Matrices. IEEE Trans. Inf. Theory 45 (2) (1999)
Oliver B. Downs, David J. C. MacKay, Daniel D. Lee
The Nonnegative Boltzmann Machine. NIPS (1999)
David J. C. MacKay, Ryo Takeuchi
Interpolation models with multiple hyperparameters. Stat. Comput. 8 (1) (1998)
David J. C. MacKay
Choice of Basis for Laplace Approximation. Mach. Learn. 33 (1) (1998)
Robert J. McEliece, David J. C. MacKay, Jung-Fu Cheng
Turbo Decoding as an Instance of Pearl's "Belief Propagation" Algorithm. IEEE J. Sel. Areas Commun. 16 (2) (1998)
Matthew C. Davey, David J. C. MacKay
Low-density parity check codes over GF(q). IEEE Commun. Lett. 2 (6) (1998)
Brendan J. Frey, David J. C. MacKay
A Revolution: Belief Propagation in Graphs with Cycles. NIPS (1997)
David J. C. MacKay
Equivalence of Linear Boltzmann Chains and Hidden Markov Models. Neural Comput. 8 (1) (1996)
Steve R. Waterhouse, David J. C. MacKay, Anthony J. Robinson
Bayesian Methods for Mixtures of Experts. NIPS (1995)
David J. C. MacKay
Good Codes Based on Very Sparse Matrices. IMACC (1995)
David J. C. MacKay
Developments in Probabilistic Modelling with Neural Networks - Ensemble Learning. SNN Symposium on Neural Networks (1995)
David J. C. MacKay, Linda C. Bauman Peto
A hierarchical Dirichlet language model. Nat. Lang. Eng. 1 (3) (1995)
Kenneth D. Miller, David J. C. MacKay
The Role of Constraints in Hebbian Learning. Neural Comput. 6 (1) (1994)
David J. C. MacKay
A Free Energy Minimization Framework for Inference Problems in modulo 2 Arithmetic. FSE (1994)
Steve Renals, David J. C. MacKay
Bayesian regularisation methods in a hybrid MLP-HMM system. EUROSPEECH (1993)
David J. C. MacKay
The Evidence Framework Applied to Classification Networks. Neural Comput. 4 (5) (1992)
David J. C. MacKay
Information-Based Objective Functions for Active Data Selection. Neural Comput. 4 (4) (1992)
David J. C. MacKay
Bayesian Interpolation. Neural Comput. 4 (3) (1992)
David J. C. MacKay
A Practical Bayesian Framework for Backpropagation Networks. Neural Comput. 4 (3) (1992)
John S. Bridle, Anthony J. R. Heading, David J. C. MacKay
Unsupervised Classifiers, Mutual Information and 'Phantom Targets'. NIPS (1991)
David J. C. MacKay
Bayesian Model Comparison and Backprop Nets. NIPS (1991)
David J. C. MacKay, Kenneth D. Miller
Analysis of Linsker's Simulations of Hebbian Rules. Neural Comput. 2 (2) (1990)
David J. C. MacKay, Kenneth D. Miller
Analysis of Linsker's Simulations of Hebbian Rules. NIPS (1989)