Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Ballooning Delta-prime in the Second Stable Region

    Bishop, C. M., Hastie, R. J., Sykes, A. & Wilson, H. R., 1 Jan 1990, In : Physics of Fluids B. 2, p. 3052-3053 2 p.

    Research output: Contribution to journalArticle

  2. GTM: The generative topographic mapping

    Bishop, C. M., Svensén, M. & Williams, C. KI., Jan 1998, In : Neural Computation. 10, 1, p. 215-234 20 p.

    Research output: Contribution to journalArticle

  3. Handbook of Neural Computation

    Bishop, C. M., 1996, Handbook of Neural Computation. Oxford University Press

    Research output: Chapter in Book/Report/Conference proceedingChapter

  4. A Special Class of Toroidal MHD Equilibria Including Minimum-B

    Bishop, C. M. & Taylor, J. B., 1985, Proceedings 12 European Conference on Controlled Fusion and Plasma Physics, Budapest. p. 401–404 4 p.

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

  5. Multiphase flow monitoring in oil pipelines

    Bishop, C. M., 1995, Applications of Neural Networks: Section B. Murray, A. (ed.). Springer US, p. 133-155 23 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  6. Latent Variables, Topographic Mappings and Data Visualization

    Bishop, C., 1998, Neural Nets WIRN VIETRI-97: Proceedings of the 9th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 22–24 May 1997. Marinaro, M. & Tagliaferri, R. (eds.). Springer London, p. 3-32 30 p. (Perspectives in Neural Computing).

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

  7. Heat-Pulse Propagation in Tokamaks and the Role of Density Perturbations

    Bishop, C. M. & Connor, J. W., 1 Jan 1990, In : Plasma physics and controlled fusion. 32, 3, p. 203-211 9 p.

    Research output: Contribution to journalArticle

  8. Variational Learning in Graphical Models and Neural Networks

    Bishop, C., 1998, ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998. Niklasson, L., Boden, M. & Ziemke, T. (eds.). Springer London, p. 13-22 10 p. (Perspectives in Neural Computing).

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

  9. Model-based machine learning

    Bishop, C. M., 2013, In : Philosophical Transactions A: Mathematical, Physical and Engineering Sciences. 371, 1984, 20120222.

    Research output: Contribution to journalArticle

  10. Real-time Control of a Tokamak Plasma Using Neural Networks

    Bishop, C. M., Haynes, P. S., Smith, M. E. U., Todd, T. N., Trotman, D. L. & Windsor, C. G., 1994, Advances in Neural Information Processing Systems 7 (NIPS 1994). MIT Press, Vol. 7. p. 1007-1014 8 p.

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

  11. Exact Calculation of the Hessian Matrix for the Multilayer Perceptron

    Bishop, C., 1 Jul 1992, In : Neural Computation. 4, 4, p. 494-501 8 p.

    Research output: Contribution to journalArticle

  12. 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

  13. Object Recognition via Local Patch Labelling

    Bishop, C. & Ulusoy, I., 2005, Deterministic and Statistical Methods in Machine Learning: First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures. Winkler, J., Niranjan, M. & Lawrence, N. (eds.). Springer Berlin Heidelberg, Vol. 3635. p. 1-21 21 p. (Lecture Notes in Computer Science).

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

  14. Variational Principal Components

    Bishop, C. M., 1 Jan 1999, Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99. IEE, p. 509-514 6 p.

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

  15. Variational Relevance Vector Machines

    Bishop, C. M. & Tipping, M. E., 1 Jan 2000, Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence. Morgan Kaufmann, p. 46-53 8 p.

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

  16. Magnification factors for the GTM algorithm

    Bishop, C. M., Svensén, M. & Williams, C. K. I., 1 Jan 1997, Artificial Neural Networks, Fifth International Conference on (Conf. Publ. No. 440). Institute of Electrical and Electronics Engineers (IEEE), p. 64–69 6 p.

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

  17. Developments of the generative topographic mapping

    Bishop, C. M., Svensén, M. & Williams, C. K. I., Nov 1998, In : Neurocomputing. 21, 1–3, p. 203-224 22 p.

    Research output: Contribution to journalArticle

  18. Kick-starting GPLVM Optimization via a Connection to Metric MDS

    Bitzer, S. & Williams, C. K. I., 2010, Proceedings of the NIPS 2010 workshop on Challenges of Data Visualization. 6 p.

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

  19. Modelling-based experiment retrieval: A case study with gene expression clustering

    Blomstedt, P., Dutta, R., Seth, S., Brazma, A. & Kaski, S., 1 May 2016, In : Bioinformatics. 32, 9, p. 1388-1394 7 p.

    Research output: Contribution to journalArticle

  20. Host-circuit interactions explain unexpected behavior of a gene circuit

    Boada, Y., Vignoni, A., Oyarzún, D. & Picó, J., 2018, In : IFAC-PapersOnLine. 51, 19, p. 86 - 89 4 p.

    Research output: Contribution to journalArticle

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