David MacKay
机构: Professor of Natural Philosophy, Cavendish Laboratory, University of Cambridge
主页: cam.ac.uk
每年引用次数
引用次数
引用: 78,892
H-指数: 76
I10-指数 : 169
出版物: 331
Neural network analysis of steel plate processing
I Martin , SB Singh , H Carey , Djc MacKay
Ironmaking & Steelmaking 25 ( 5) 355 -365
63
1998
Information theory, inference, and learning algorithms
Djc MacKay
Cambridge Univ Pr
13,361
2003
Hyperparameters: Optimize, or integrate out?
Djc MacKay
185
1996
117
1996
Global Carbon Pricing: The Path to Climate Cooperation
Axel Ockenfels , Peter Cramton , Steven Stoft , David Jc MacKay
The MIT Press
31
2017
A decomposition model to track gene expression signatures: preview on observer-independent classification of ovarian cancer.
A.-M. Martoglio , J. W. Miskin , S. K. Smith , D. J. C. MacKay
Bioinformatics 18 ( 12) 1617 -1624
80
2002
Neural network model of creep strength of austenitic stainless steels
T. Sourmail , H. K. D. H. Bhadeshia , D. J. C. MacKay
Materials Science and Technology 18 ( 6) 655 -663
92
2002
Design of a creep resistant nickel base superalloy for power plant applications: Part 1 - Mechanical properties modelling
F. Tancret , H. K. D. H. Bhadeshia , D. J. C. MacKay
Materials Science and Technology 19 ( 3) 283 -290
47
2003
Maximum Entropy Connections: Neural Networks
D. J. C. MacKay
Maximum Entropy and Bayesian Methods 237 -244
15
1991
Model for solidification cracking in low alloy steel weld metals
Kazutoshi Ichikawa , H. K. D. H. Bhadeshia , D. J. C. MacKay
Science and Technology of Welding and Joining 1 ( 1) 43 -50
16
1996
Impact toughness of C-Mn steel arc welds : Bayesian neural network analysis
H. K. D. H. Bhadeshia , D. J. C. MacKay , L.-E. Svensson
Materials Science and Technology 11 ( 10) 1046 -1051
73
1995
Bayesian neural network model for austenite formation in steels
L. Gavard , H. K. D. H. Bhadeshia , D. J. C. MacKay , S. Suzuki
Materials Science and Technology 12 ( 6) 453 -463
47
1996
Independent component analysis of microarray data in the study of endometrial cancer.
Samir A Saidi , Cathrine M Holland , David P Kreil , David J C MacKay
Oncogene 23 ( 39) 6677 -6683
90
2004
A recurrent neural network for modelling dynamical systems.
Coryn A L Bailer-Jones , David J C MacKay , Philip J Withers
Network: Computation In Neural Systems 9 ( 4) 531 -547
40
1998
Advanced Statistical Modelling of Processing of Aluminium Alloys
C.R. Crotaz , Hugh R. Shercliff , D.J.C. Mackay
Materials Science Forum 396-402 643 -648
2002
Variational Gaussian process classifiers
D.J.C. Mackay , M.N. Gibbs
IEEE Transactions on Neural Networks 11 ( 6) 1458 -1464
287
2000
Reliable communication over channels with insertions, deletions, and substitutions
M.C. Davey , D.J.C. Mackay
IEEE Transactions on Information Theory 47 ( 2) 687 -698
254
2001
Design of New Creep-Resistant Nickel-Base Superalloys for Power-Plant Applications
F. Tancret , Harshad K.D.H. Bhadeshia , D.J.C. Mackay
Key Engineering Materials 171-174 529 -536
6
1999
Watermark codes: reliable communication over insertion/deletion channels
M.C. Davey , D.J.C. Mackay
international symposium on information theory 477
11
2000
Analysis of Linsker's application of Hebbian rules to linear networks
D J C Mackay , K D Miller
Network: Computation In Neural Systems 1 ( 3) 257 -297
76
1990