Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 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

  2. Variational Message Passing

    Winn, J. & Bishop, C., 2005, In : Journal of Machine Learning Research. 6, p. 661-694 34 p.

    Research output: Contribution to journalArticle

  3. Variational Noise-Contrastive Estimation

    Rhodes, B. & Gutmann, M., 25 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019). Naha, Okinawa, Japan: PMLR, Vol. 89. p. 2741-2750 14 p.

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

  4. 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

  5. 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

  6. Variational inference for Markov jump processes

    Opper, M. & Sanguinetti, G., 2008, Advances in Neural Information Processing Systems 20 (NIPS 2007). Platt, J. C., Koller, D., Singer, Y. & Roweis, S. T. (eds.). p. 1105-1112 8 p.

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

  7. Verifying Anti-Security Policies Learnt from Android Malware Families

    Chen, W., Sutton, C., Aspinall, D., Gordon, A., Shen, Q. & Muttik, I., 21 Oct 2015, Fourth International Seminar on Program Verification, Automated Debugging and Symbolic Computation. 6 p.

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

  8. Very Predictive Ngrams for Space-Limited Probabilistic Models

    Cohen, P. R. & Sutton, C. A., 2003, Advances in Intelligent Data Analysis V: 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003. Proceedings. R. Berthold, M., Lenz, H-J., Bradley, E., Kruse, R. & Borgelt, C. (eds.). Springer-Verlag GmbH, p. 134-142 9 p. (Lecture Notes in Computer Science; vol. 2810).

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

  9. Virtual Fly Brain

    Osumi-Sutherland, D., Milyaev, N., Reeve, S., Armstrong, J. D. & Ashburner, M., Dec 2010, In : Journal of neurogenetics. 24, p. 49-50 2 p.

    Research output: Contribution to journalMeeting abstract

  10. Virtual Fly Brain 3D Interaction Tool

    Milyaev, N., Armstrong, D., Osumi-Sutherland, D., Ashburner, M., Baldock, R. A., Burton, N. & Husz, Z. L., Dec 2010, In : Journal of neurogenetics. 24, p. 50-50 1 p.

    Research output: Contribution to journalMeeting abstract