Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Truncated covariance matrices and Toeplitz methods in Gaussian processes

    Storkey, AJ., 1999, Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470) (Volume:1 ) . EDISON: INST ELECTRICAL ENGINEERS INSPEC INC, p. 55-60 6 p. (IEE CONFERENCE PUBLICATIONS).

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

  2. The basins of attraction of a new Hopfield learning rule

    Storkey, A. J. & Valabregue, R., 1999, In : Neural Networks. 12, 6, p. 869 - 876 17 p.

    Research output: Contribution to journalArticle

  3. Cosine transform priors for enhanced decoding of compressed images

    Storkey, A. & Allan, M., 2004, INTELLIGENT DAA ENGINEERING AND AUTOMATED LEARNING IDEAL 2004, PROCEEDINGS. Yang, ZR., Everson, R. & Yin, H. (eds.). BERLIN: Springer-Verlag Berlin Heidelberg, p. 533-539 7 p. (LECTURE NOTES IN COMPUTER SCIENCE; vol. 3177).

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

  4. Evolution at the system level: the natural history of protein interaction networks

    Stumpf, M. P. H., Kelly, W. P., Thorne, T. & Wiuf, C., 1 Jul 2007, In : Trends in Ecology & Evolution. 22, 7, p. 366-373 8 p.

    Research output: Contribution to journalArticle

  5. Estimating the size of the human interactome

    Stumpf, M. P. H., Thorne, T., De Silva, E., Stewart, R., Hyeong, J. A., Lappe, M. & Wiuf, C., 13 May 2008, In : Proceedings of the National Academy of Sciences. 105, 19, p. 6959-6964 6 p.

    Research output: Contribution to journalArticle

  6. Automatic Myoelectric Control Site Detection Using Candid Covariance-Free Incremental Principal Component Analysis

    Stuttaford, S. A., Krasoulis, A., Dupan, S. S. G., Nazarpour, K. & Dyson, M., 27 Aug 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 3497-3500 4 p.

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

  7. Interpretable Machine Teaching via Feature Feedback

    Su, S., Chen, Y., Mac Aodha, O., Perona, P. & Yue, Y., 9 Dec 2017. 9 p.

    Research output: Contribution to conferencePaper

  8. Mixture Regression for Covariate Shift

    Sugiyama, M. & Storkey, A. J., 2007, Advances in Neural Information Processing Systems 19. Schölkopf, B., Platt, J. C. & Hoffman, T. (eds.). MIT Press, p. 1337-1344 8 p.

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