David MacKay
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Environment and Energy 
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Information Theory 
·Textbook 
·Gallager codes & MN codes 
·Theory of Sparse Graph codes 
·Regular Gallager codes 
·Irregular Gallager codes 
·Turbo codes  
·Insertions and deletions 
·Quantum Codes 
·Cryptanalysis and Coding 
·Discussion documents 
·More Message-Passing 
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Probabilistic Data Modelling 
·PhD thesis 
·Bayes for neural networks 
·ICA & Latent Variable Models 
·Bayes FAQ 
·Bayesian computations 
·Monte Carlo methods 
·Variational methods 
·Gaussian processes 
·Language, Proteins, Density nets 
·Images, Radar, Neuroscience 
·Materials science « 
·Decision theory, Fair Elections 
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Human-computer Interfaces 
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Computational Neuroscience 
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Evolution and Molecular Biology  
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Miscellaneous work 
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Errata 
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Software and Files 
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Recommendations 
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Dynamical Neural Networks

dynet.ps.gz. | PDF | | DJVU | | <- UK | Canada -> | dynet.ps.gz. | Abstract (in Germany)
` A Recurrent Neural Network for Modelling Dynamical Systems '.
by Coryn A.L. Bailer-Jones, David J.C. MacKay, Philip J. Withers

Papers for which postscript files are not available here, but may be available in Materials Science

H.K.D.H. Bhadeshia, D.J.C. MacKay, and L.E. Svensson.
Impact toughness of C-MN steel arc welds - Bayesian neural network analysis.
Materials Science and Technology, 11(10):1046-1051, 1995.

L.Gavard, H.K. D.H. Bhadeshia, D.J.C. MacKay, and S.Suzuki.
Bayesian neural network model for austenite formation in steels.
Materials Science and Technology, pages 453-463, 1996.

H.Fujii, D.J.C. MacKay, and H.K. D.H. Bhadeshia.
Bayesian neural network analysis of fatigue crack growth rate in nickel base superalloys.
ISIJ International, 36(11):1373-1382, 1996.

T.Cool, H.K.D.H. Bhadeshia, and D.J.C. MacKay.
The yield and ultimate tensile strength of steel welds.
Materials Science and Engineering A, A223:186-200, 1997.

J.Jones, J.King, H.K.D.H. Bhadeshia, and D.J.C. MacKay.
Modelling the strength of Nickel base superalloys.
3rd International Parsons Turbine Conference, 1995.

T.Cool, H.K.D.H. Bhadeshia, and D.J.C. MacKay.
Modelling the mechanical properties in the HAZ of power plant steels i: Bayesian neural network analysis of proof strength.
In H.Cerjak, editor, Mathematical Modelling of Weld Phenomena 3, Materials Modelling Series, pages 403-442. Institute of Materials, London, 1997.

D.J.C. MacKay.
Bayesian non-linear modelling with neural networks.
In H.Cerjak, editor, Mathematical Modelling of Weld Phenomena 3, Materials Modelling Series, pages 359-389. Institute of Materials, London, 1997.

A.Y. Badmos, H.K.D.H. Bhadeshia, and D.J.C. MacKay.
Neural network models for the tensile properties of mechanically alloyed ODS iron-alloys. Materials Science and Engineering A. Accepted for publication, 1997.

F. Brun, T. Yoshida, J. D. Robson, V. Narayan, H.K.D.H. Bhadeshia and D. J. C. MacKay.
Theoretical Design of Creep Resistant Steels. 1997 (Submitted).
And many more....


The Inference Group is supported by the Gatsby Foundation
and by a partnership award from IBM Zurich Research Laboratory
David J.C. MacKay
Site last modified Wed Nov 12 17:38:44 GMT 2014