David MacKay
TitleCited byYear
Information theory, inference and learning algorithms
DJC MacKay, DJC Mac Kay
Cambridge university press, 2003
100252003
Information theory and reliable communication
RG Gallager
Wiley, 1968
82021968
Good error-correcting codes based on very sparse matrices
DJC MacKay
IEEE transactions on Information Theory 45 (2), 399-431, 1999
49101999
Bayesian interpolation
DJC MacKay
Neural computation 4 (3), 415-447, 1992
41661992
Near Shannon limit performance of low density parity check codes
DJC MacKay, RM Neal
Electronics letters 32 (18), 1645-1646, 1996
31361996
A practical Bayesian framework for backpropagation networks
DJC MacKay
Neural computation 4 (3), 448-472, 1992
22901992
Sustainable Energy-without the hot air
D MacKay
UIT Cambridge, 2008
17912008
Low density parity check codes over GF (q)
MC Davey, DJC MacKay
1998 Information Theory Workshop (Cat. No. 98EX131), 70-71, 1998
14181998
Fountain codes
DJC MacKay
IEE Proceedings-Communications 152 (6), 1062-1068, 2005
13092005
Information-based objective functions for active data selection
DJC MacKay
Neural computation 4 (4), 590-604, 1992
11361992
Near Shannon limit performance of low density parity check codes
DJC MacKay, RM Neal
Electronics letters 33 (6), 457-458, 1997
11221997
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
11211998
Introduction to Gaussian processes
DJC MacKay
NATO ASI Series F Computer and Systems Sciences 168, 133-166, 1998
8981998
Probable networks and plausible predictions—a review of practical Bayesian methods for supervised neural networks
DJC MacKay
Network: computation in neural systems 6 (3), 469-505, 1995
8891995
The evidence framework applied to classification networks
DJC MacKay
Neural computation 4 (5), 720-736, 1992
8041992
Bayesian methods for adaptive models
DJC MacKay
California Institute of Technology, 1992
7281992
Introduction to monte carlo methods
DJC MacKay
Learning in graphical models, 175-204, 1998
6281998
Good codes based on very sparse matrices
DJC MacKay, RM Neal
IMA International Conference on Cryptography and Coding, 100-111, 1995
5831995
Bayesian nonlinear modeling for the prediction competition
DJC MacKay
ASHRAE transactions 100 (2), 1053-1062, 1994
5001994
The role of constraints in Hebbian learning
KD Miller, DJC MacKay
Neural Computation 6 (1), 100-126, 1994
4531994
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