Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Conference contribution › Research
  2. Locating objects with diffuse light

    den Outer, P. N., Van Rossum, M., Nieuwenhuizen, T. M. & Lagendijk, A., 1994, OSA Proceedings on Advances in Optical Imaging and Photon Migration. SPIE, p. 297-302 4 p.

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

  3. MADE: Masked Autoencoder for Distribution Estimation

    Germain, M., Gregor, K., Murray, I. & Larochelle, H., 2015, Proceedings of The 32nd International Conference on Machine Learning. Lille, France: Journal of Machine Learning Research: Workshop and Conference Proceedings, Vol. 37. p. 881-889 9 p.

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

  4. MCMC for doubly-intractable distributions

    Murray, I., Ghahramani, Z. & MacKay, D. J. C., 2006, Proceedings of the 22nd Annual Conference on Uncertainty in Artificial Intelligence (UAI-06). AUAI Press, p. 359-366 8 p.

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

  5. MFDTs: Mean field dynamic trees

    Adams, NJ., Storkey, AJ., Ghahramani, Z. & Williams, CKI., 2000, 15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, PROCEEDINGS. Sanfeliu, A., Villanueva, JJ., Vanrell, M., Alquezar, R., Huang, T. & Serra, J. (eds.). LOS ALAMITOS: Institute of Electrical and Electronics Engineers (IEEE), p. 147-150 4 p. (INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION).

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

  6. MILEPOST GCC: machine learning based research compiler

    Fursin, G., Miranda, C., Temam, O., Namolaru, M., Yom-Tov, E., Zaks, A., Mendelson, B., Bonilla, E., Thomson, J., Leather, H., Williams, C. K. I., O'Boyle, M., Barnard, P., Ashton, E., Courtois, E. & Bodin, F., 2008, Proceedings of the GCC Developers' Summit. 13 p.

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

  7. Machine Learning Markets

    Storkey, A. J., 22 Jun 2011, Proceedings of the 14th International Conference on Artificial Intelligence and Statistics. p. 716-724 9 p. (JMLR Workshop and Conference Proceedings; vol. 15).

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

  8. Machine Learning Methods in Statistical Model Checking and System Design – Tutorial

    Bortolussi, L., Milios, D. & Sanguinetti, G., 2015, Runtime Verification: 6th International Conference, RV 2015, Vienna, Austria, September 22-25, 2015. Proceedings. Bartocci, E. & Majumdar, R. (eds.). Cham: Springer International Publishing, p. 323-341 19 p. (Lecture Notes in Computer Science; vol. 9333).

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

  9. Machine learning and multimedia content generation for energy demand reduction

    Goddard, N. H., Moore, J. D., Sutton, C. A., Lovell, H. & Webb, J., 2012, Sustainable Internet and ICT for Sustainability (SustainIT), 2012. Institute of Electrical and Electronics Engineers (IEEE), p. 1-5 5 p.

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

  10. 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

  11. 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