Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 1997
  2. Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo

    Barber, D. & Williams, C. K. I., 1997, Advances in Neural Information Processing Systems 9. MIT Press, p. 340-346 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Gaussian Regression and Optimal Finite Dimensional Linear Models

    Zhu, H., Williams, C. K. I., Rohwer, R., Morciniec, M. & Hammel, M., 1997, 20 p.

    Research output: Working paper

  4. Magnification factors for the SOM and GTM algorithms

    Bishop, C. M., Svensén, M. & Williams, C. K. I., 1997, Proceedings 1997 Workshop on Self-Organizing Maps. p. 333–338 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. Modelling Conditional Probability Distributions for Periodic Variables

    Bishop, C. & Nabney, I., 1997, Mathematics of Neural Networks: Models, Algorithms and Applications. Ellacott, S., Mason, J. & Anderson, I. (eds.). Springer US, p. 118-122 5 p. (Operations Research/Computer Science Interfaces Series; vol. 8).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  6. Prediction With Gaussian Processes: From Linear Regression To Linear Prediction And Beyond

    Williams, C., 1997, Learning in Graphical Models. p. 599-621 23 p. (NATO ASI Series D: Behavioural and Social Sciences; vol. 89).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  7. Regression with input-dependent noise: A Gaussian process treatment

    Goldberg, P. W., Williams, C. K. I. & Bishop, C. M., 1997, Advances in Neural Information Processing Systems 10 (NIPS 1997). MIT Press, p. 493-499 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. Self-Organization, Plasticity, and Low-Level Visual Phenomena in a Laterally Connected Map Model of the Primary Visual Cortex

    Miikkulainen, R., Bednar, J. A., Choe, Y. & Sirosh, J., 1997, Perceptual Learning. Goldstone, R. L., Schyns, P. G. & Medin, D. L. (eds.). Academic Press, p. 257-308 52 p. (Psychology of Learning and Motivation).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  9. The GENESIS Simulator-based Neuronal Database

    Beeman, D., Bower, J. M., Schutter, E. D., Efthimiadis, E. N., Goddard, N. & Leigh, J., 1997, Progress in Neuroinformatics. Koslow, S. & Huerta, M. (eds.). Lawrence Erlbaum Associates, Vol. 1. 203 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  10. 1996
  11. Using Generative Models for Handwritten Digit Recognition

    Revow, M., Williams, C. K. I. & Hinton, G. E., Jun 1996, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 18, 6, p. 592-606 15 p.

    Research output: Contribution to journalArticle

  12. A modified spreading algorithm for autoassociation in weightless neural networks

    Browne, C., de L. Pereira Castro Jr., J. & Storkey, A., 1996, Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings. von der Malsburg, C., von Seelen, W., Vorbrüggen, J. C. & Sendhoff, B. (eds.). Springer Berlin Heidelberg, p. 569-574 6 p. (Lecture Notes in Computer Science; vol. 1112).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution