Cavendish Astrophysics Publications for topic : Bayesian data modelling

  1. Bailer-Jones, C.A.L., Bhadeshia, H.K.D.H., MacKay, D.J.C. Gaussian Process Modelling of Austenite Formation in Steel. Materials Science & Technology, in press. Link

  2. Bailer-Jones, C.A.L., MacKay, D.J.C., Sabin, T.J., Withers, P.J., 1998. Static and Dynamic Modelling of Materials Forging. Aust. J. on Intelligent Info. Processing Systems, 5, 10. Link

  3. Bailer-Jones, C.A.L., MacKay, D.J.C., Withers, P.J., 1998. A Recurrent Neural Network for Modelling Dynamical Systems. Network: Computation in Neural Systems, 9, 531-547. Link

  4. Brun, F., Yoshida, T., Robson, J.D., Narayan, V., Bhadeshia, H.K.D.H., MacKay, D., 1999. Theoretical Designs of Ferritic Creep-Resistant Steels Using Neural Network, Kinetic and Thermodynamic Models. Materials Science & Technology, 15, 547. Link

  5. Takeuchi, R., MacKay, D.J.C., Nakazawa, S., Matsumoto, T., 1997. Inferring Hyperparameter and Regulizers for Standard Regularization Problems (Japanese). Trans of the Inst. of Electronics, Info & Comm Eng, J80-D-II No 9, 2502-2511.

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

  7. Bailer-Jones, C.A.L., Sabin, T.J., MacKay, D.J.C., Withers, P.J. Prediction of Deformed and Annealed Microstructures using Bayesian Neural Networks and Gaussian Processes. International conference on Thermodynamical Processing, in press.

  8. Waterhouse, S.R., MacKay, D.J.C., Robinson, A.J., 1996. Bayesian methods for mixtures of experts. Neural Information Processing Systems, D.S. Touretzky, et al., MIT Press, 351-357. Link

  9. MacKay, D.J.C., 1995. Density networks and their application to protein modelling. Maximum Entropy & Bayesian Methods, J. Skilling, S. Sibisi, Kluwer, 259-268. Link

  10. Barnett, A.H., MacKay, D.J.C., 1995. Bayesian comparison of models for images. Maximum Entropy & Bayesian Methods, J. Skilling, S. Sibisi, Kluwer, 239-248. Link

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