David J. C. MacKay - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 49 from 49

2019

Ticker: An Adaptive Single-Switch Text Entry Method for Visually Impaired UsersEmli-Mari Nel, Per Ola Kristensson, David J. C. MacKay. pami, 41(11):2756-2769, 2019. [doi]

2014

Speech dasher: a demonstration of text input using speech and approximate pointingKeith Vertanen, David J. C. MacKay. assets 2014: 353-354 [doi]

2010

Elliptical slice samplingIain Murray, Ryan Prescott Adams, David J. C. MacKay. jmlr, 9:541-548, 2010. [doi]

Speech dasher: fast writing using speech and gazeKeith Vertanen, David J. C. MacKay. CHI 2010: 595-598 [doi]

2009

Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensitiesRyan Prescott Adams, Iain Murray, David J. C. MacKay. icml 2009: 2 [doi]

Predicting and understanding the stability of G-quadruplexesOliver Stegle, Linda Payet, Jean-Louis Mergny, David J. C. MacKay, Julian Leon Huppert. bioinformatics, 25(12), 2009. [doi]

2008

The Gaussian Process Density SamplerRyan Prescott Adams, Iain Murray, David J. C. MacKay. nips 2009: 9-16 [doi]

Gaussian Process Robust Regression for Noisy Heart Rate DataOliver Stegle, Sebastian V. Fallert, David J. C. MacKay, Søren Brage. tbe, 55(9):2143-2151, 2008. [doi]

2006

MCMC for Doubly-intractable DistributionsIain Murray, Zoubin Ghahramani, David J. C. MacKay. uai 2006: [doi]

2005

Nested sampling for Potts modelsIain Murray, David J. C. MacKay, Zoubin Ghahramani, John Skilling. nips 2005: 947-954 [doi]

2004

Eye tracking off the shelfDan Witzner Hansen, David J. C. MacKay, John Paulin Hansen, Mads Nielsen. petra 2004: 58 [doi]

Sparse-graph codes for quantum error correctionDavid J. C. MacKay, G. Mitchison, P. L. McFadden. TIT, 50(10):2315-2330, 2004.

Modelling Uncertainty in the Game of GoDavid H. Stern, Thore Graepel, David J. C. MacKay. nips 2004: 1353-1360 [doi]

2003

Information theory, inference, and learning algorithmsDavid J. C. MacKay. Cambridge University Press, 2003.

Sparse low-density parity-check codes for channels with cross-talkEdward A. Ratzer, David J. C. MacKay. itw 2003: 127-130 [doi]

2002

2001

Reliable communication over channels with insertions, deletions, and substitutionsMatthew C. Davey, David J. C. MacKay. TIT, 47(2):687-698, 2001.

Model fitting as an aid to bridge balancing in neuronal recordingVirginia R. de Sa, David J. C. MacKay. ijon, 38-40:1651-1656, 2001. [doi]

Almost-Certainly Runlength-Limiting CodesDavid J. C. MacKay. ima 2001: 138-147 [doi]

Errata for Good error-correcting codes based on very sparse matrices David J. C. MacKay. TIT, 47(5):2101, 2001.

2000

Variational Gaussian process classifiersMark N. Gibbs, David J. C. MacKay. tnn, 11(6):1458-1464, 2000. [doi]

Dasher - a data entry interface using continuous gestures and language modelsDavid J. Ward, Alan F. Blackwell, David J. C. MacKay. uist 2000: 129-137 [doi]

1999

The Nonnegative Boltzmann MachineOliver B. Downs, David J. C. MacKay, Daniel D. Lee. nips 2000: 428-434 [doi]

Comparison of Approximate Methods for Handling HyperparametersDavid J. C. MacKay. neco, 11(5):1035-1068, 1999.

Good Error-Correcting Codes Based on Very Sparse MatricesDavid J. C. MacKay. TIT, 45(2):399-431, 1999.

Comparison of constructions of irregular Gallager codesDavid J. C. MacKay, Simon T. Wilson, Matthew C. Davey. tcom, 47(10):1449-1454, 1999. [doi]

1998

Low-density parity check codes over GF(q)Matthew C. Davey, David J. C. MacKay. icl, 2(6):165-167, 1998. [doi]

Choice of Basis for Laplace ApproximationDavid J. C. MacKay. ml, 33(1):77-86, 1998.

Introduction to Monte Carlo MethodsDavid J. C. MacKay. In Michael I. Jordan, editor, Learning in Graphical Models. Volume 89 of NATO ASI Series, pages 175-204, Springer Netherlands, 1998. [doi]

Interpolation models with multiple hyperparametersDavid J. C. MacKay, Ryo Takeuchi. sac, 8(1):15-23, 1998. [doi]

Turbo Decoding as an Instance of Pearl s Belief Propagation AlgorithmRobert J. McEliece, David J. C. MacKay, Jung-Fu Cheng. jsac, 16(2):140-152, 1998.

1997

A Revolution: Belief Propagation in Graphs with CyclesBrendan J. Frey, David J. C. MacKay. nips 1998: 479-485

1996

Equivalence of Linear Boltzmann Chains and Hidden Markov ModelsDavid J. C. MacKay. neco, 8(1):178-181, 1996. [doi]

1995

Good Codes Based on Very Sparse MatricesDavid J. C. MacKay. ima 1995: 100-111

A hierarchical Dirichlet language modelDavid J. C. MacKay, Linda C. Bauman Peto. nle, 1(3):289-308, 1995. [doi]

Developments in Probabilistic Modelling with Neural Networks - Ensemble LearningDavid J. C. MacKay. snn 1995: 191-198 [doi]

1994

A Free Energy Minimization Framework for Inference Problems in modulo 2 ArithmeticDavid J. C. MacKay. fse 1995: 179-195

The Role of Constraints in Hebbian LearningKenneth D. Miller, David J. C. MacKay. neco, 6(1):100-126, 1994. [doi]

1992

Information-Based Objective Functions for Active Data SelectionDavid J. C. MacKay. neco, 4(4):590-604, 1992. [doi]

The Evidence Framework Applied to Classification NetworksDavid J. C. MacKay. neco, 4(5):720-736, 1992. [doi]

A Practical Bayesian Framework for Backpropagation NetworksDavid J. C. MacKay. neco, 4(3):448-472, 1992. [doi]

Bayesian InterpolationDavid J. C. MacKay. neco, 4(3):415-447, 1992. [doi]

1991

Unsupervised Classifiers, Mutual Information and Phantom Targets John S. Bridle, Anthony J. R. Heading, David J. C. MacKay. nips 1992: 1096-1101 [doi]

Bayesian Model Comparison and Backprop NetsDavid J. C. MacKay. nips 1992: 839-846 [doi]

1990

Analysis of Linsker's Simulations of Hebbian RulesDavid J. C. MacKay, Kenneth D. Miller. neco, 2(2):173-187, 1990. [doi]

1989

Analysis of Linsker s Simulations of Hebbian RulesDavid J. C. MacKay, Kenneth D. Miller. nips 1990: 694-701 [doi]

Sign in or sign up to see more results.

runs on WebDSL