Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Conference contribution › Research
  2. Missing Data in Kernel PCA

    Sanguinetti, G. & Lawrence, N. D., 2006, Machine Learning: ECML 2006: 17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006 Proceedings. Fürnkranz, J., Scheffer, T. & Spiliopoulou, M. (eds.). Springer Berlin Heidelberg, p. 751-758 8 p. (Lecture Notes in Computer Science; vol. 4212).

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

  3. Mixed vine copulas as joint models of spike counts and local field potentials

    Onken, A. & Panzeri, S., 11 Dec 2016, Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain. Barcelona, Spain: Neural Information Processing Systems, p. 1325-1333 9 p.

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

  4. 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

  5. Mode Normalization

    Deecke, L., Murray, I. & Bilen, H., 9 May 2019, Proceedings of the Seventh International Conference on Learning Representations (ICLR 2019). New Orleans, Louisiana, USA, 12 p.

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

  6. Modelling acoustic feature dependencies with artificial neural networks: Trajectory-RNADE

    Uria, B., Murray, I., Renals, S., Valentini-Botinhao, C. & Bridle, J., 2015, Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on . IEEE Signal Processing Society Press, p. 4465-4469 5 p.

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

  7. Modelling biological systems with delays in Bio-PEPA

    Caravagna, G. & Hillston, J., 2010, Proceedings of MeCBIC 2010. p. 85-101 17 p. (Electronic Proceedings in Theoretical Computer Science; vol. 40).

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

  8. Modelling motion primitives and their timing in biologically executed movements

    Williams, B., Toussaint, M. & Storkey, A. J., 2008, Advances in Neural Information Processing Systems 20. Platt, J. C., Koller, D., Singer, Y. & Roweis, S. T. (eds.). Curran Associates Inc, p. 1609-1616 8 p.

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

  9. Modelling the acquisition of lexical segmentation

    Cairns, P., Shillcock, R., Chater, N. & Levy, J., 1994, The Proceedings of the 26th Annual Child Language Research Forum. Clark, E. V. (ed.). Vol. 26. p. 32-41 10 p.

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

  10. Modelling transcriptional regulation using Gaussian processes

    Lawrence, N. D., Sanguinetti, G. & Rattray, M., 2006, Advances in Neural Information Processing Systems. p. 785-792 8 p.

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

  11. Moonshine: Distilling with Cheap Convolutions

    Crowley, E., Gray, G. & Storkey, A., 2018, Thirty-second Conference on Neural Information Processing Systems (NIPS 2018). Montreal, Canada, 11 p.

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