David J. C. MacKay

55 papers A* 4A 3B 3C 2Journal 28Unranked 14

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