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David MacKay
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Information theory, inference and learning algorithms
DJC MacKay
Cambridge university press, 2003
147122003
Information theory and reliable communication
RG Gallager
Wiley, 1968
103721968
Bayesian interpolation
DJC MacKay
Neural computation 4 (3), 415-447, 1992
58951992
Good error-correcting codes based on very sparse matrices
DJC MacKay
IEEE transactions on Information Theory 45 (2), 399-431, 1999
58471999
Near Shannon limit performance of low density parity check codes
DJC MacKay, RM Neal
Electronics letters 33 (6), 457-458, 1997
51591997
A practical Bayesian framework for backpropagation networks
DJC MacKay
Neural computation 4 (3), 448-472, 1992
39781992
Sustainable Energy-without the hot air
DJC MacKay
Bloomsbury Publishing, 2016
25762016
Low density parity check codes over GF (q)
MC Davey, DJC MacKay
1998 Information Theory Workshop (Cat. No. 98EX131), 70-71, 1998
17711998
Information-based objective functions for active data selection
DJC MacKay
Neural computation 4 (4), 590-604, 1992
17011992
Fountain codes
DJC MacKay
IEE Proceedings-Communications 152 (6), 1062-1068, 2005
16342005
Introduction to Gaussian processes
DJC MacKay
NATO ASI series F computer and systems sciences 168, 133-166, 1998
13661998
Probable networks and plausible predictions-a review of practical Bayesian methods for supervised neural networks
DJC MacKay
Network: computation in neural systems 6 (3), 469, 1995
12821995
Turbo decoding as an instance of Pearl's" belief propagation" algorithm
RJ McEliece, DJC MacKay, JF Cheng
IEEE Journal on selected areas in communications 16 (2), 140-152, 1998
12561998
Bayesian methods for adaptive models
DJC Mackay
California Institute of Technology, 1992
10561992
Bayesian online changepoint detection
RP Adams, DJC MacKay
arXiv preprint arXiv:0710.3742, 2007
10282007
The evidence framework applied to classification networks
DJC MacKay
Neural computation 4 (5), 720-736, 1992
10141992
Introduction to monte carlo methods
DJC Mackay
Learning in graphical models, 175-204, 1998
7631998
Good codes based on very sparse matrices
DJC MacKay, RM Neal
IMA International Conference on Cryptography and Coding, 100-111, 1995
7131995
Bayesian nonlinear modeling for the prediction competition
DJC MacKay
ASHRAE transactions 100 (2), 1053-1062, 1994
6481994
The role of constraints in Hebbian learning
KD Miller, DJC MacKay
Neural computation 6 (1), 100-126, 1994
5981994
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Artikelen 1–20