2004 |
23 | EE | Dan Witzner Hansen,
David J. C. MacKay,
John Paulin Hansen,
Mads Nielsen:
Eye tracking off the shelf.
ETRA 2004: 58 |
22 | EE | David H. Stern,
Thore Graepel,
David J. C. MacKay:
Modelling Uncertainty in the Game of Go.
NIPS 2004 |
21 | | David J. C. MacKay,
G. Mitchison,
P. L. McFadden:
Sparse-graph codes for quantum error correction.
IEEE Transactions on Information Theory 50(10): 2315-2330 (2004) |
2002 |
20 | | 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.
Bioinformatics 18(12): 1617-1624 (2002) |
19 | EE | David J. Ward,
David J. C. MacKay:
Fast Hands-free Writing by Gaze Direction
CoRR cs.HC/0204030: (2002) |
18 | EE | David J. C. MacKay,
Christopher P. Hesketh:
Performance of low density parity check codes as a function of actual and assumed noise levels.
Electr. Notes Theor. Comput. Sci. 74: (2002) |
17 | EE | David J. C. MacKay,
Michael S. Postol:
Weaknesses of Margulis and Ramanujan-Margulis low-density parity-check cCodes.
Electr. Notes Theor. Comput. Sci. 74: (2002) |
2001 |
16 | EE | David J. C. MacKay:
Almost-Certainly Runlength-Limiting Codes.
IMA Int. Conf. 2001: 138-147 |
15 | | Matthew C. Davey,
David J. C. MacKay:
Reliable communication over channels with insertions, deletions, and substitutions.
IEEE Transactions on Information Theory 47(2): 687-698 (2001) |
14 | | David J. C. MacKay:
Errata for "Good error-correcting codes based on very sparse matrices".
IEEE Transactions on Information Theory 47(5): 2101 (2001) |
13 | EE | Virginia R. de Sa,
David J. C. MacKay:
Model fitting as an aid to bridge balancing in neuronal recording.
Neurocomputing 38-40: 1651-1656 (2001) |
2000 |
12 | EE | David J. Ward,
Alan F. Blackwell,
David J. C. MacKay:
Dasher - a data entry interface using continuous gestures and language models.
UIST 2000: 129-137 |
1999 |
11 | EE | Oliver B. Downs,
David J. C. MacKay,
Daniel D. Lee:
The Nonnegative Boltzmann Machine.
NIPS 1999: 428-434 |
10 | | David J. C. MacKay:
Good Error-Correcting Codes Based on Very Sparse Matrices.
IEEE Transactions on Information Theory 45(2): 399-431 (1999) |
9 | | David J. C. MacKay:
Comparison of Approximate Methods for Handling Hyperparameters.
Neural Computation 11(5): 1035-1068 (1999) |
1998 |
8 | | Robert J. McEliece,
David J. C. MacKay,
Jung-Fu Cheng:
Turbo Decoding as an Instance of Pearl's "Belief Propagation" Algorithm.
IEEE Journal on Selected Areas in Communications 16(2): 140-152 (1998) |
7 | | David J. C. MacKay:
Choice of Basis for Laplace Approximation.
Machine Learning 33(1): 77-86 (1998) |
1997 |
6 | | Brendan J. Frey,
David J. C. MacKay:
A Revolution: Belief Propagation in Graphs with Cycles.
NIPS 1997 |
1995 |
5 | | David J. C. MacKay:
Good Codes Based on Very Sparse Matrices.
IMA Conf. 1995: 100-111 |
1994 |
4 | | David J. C. MacKay:
A Free Energy Minimization Framework for Inference Problems in modulo 2 Arithmetic.
FSE 1994: 179-195 |
1991 |
3 | EE | John S. Bridle,
Anthony J. R. Heading,
David J. C. MacKay:
Unsupervised Classifiers, Mutual Information and 'Phantom Targets'.
NIPS 1991: 1096-1101 |
2 | EE | David J. C. MacKay:
Bayesian Model Comparison and Backprop Nets.
NIPS 1991: 839-846 |
1989 |
1 | EE | David J. C. MacKay,
Kenneth D. Miller:
Analysis of Linsker's Simulations of Hebbian Rules.
NIPS 1989: 694-701 |