Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Systematic biases in early ERP and ERF components as a result of high-pass filtering

    Acunzo, D., MacKenzie, G. & van Rossum, M. C. W., 2012, In : Journal of Neuroscience Methods. 209, 1, p. 212-218 7 p.

    Research output: Contribution to journalArticle

  2. The Gaussian process density sampler

    Adams, R. P., Murray, I. & MacKay, D. J. C., 2009, Advances in Neural Information Processing Systems 21: 22nd Annual Conference on Neural Information Processing Systems 2008. Koller, D. (ed.). Curran Associates Inc, p. 9-16 8 p.

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

  3. Comparing Mean Field and Exact EM in Tree Structured Belief Networks

    Adams, N. J., Williams, C. K. I. & Storkey, A. J., 2001, In Fourth International ICSC Symposium on Soft Computing and Intelligent Systems for Industry. ICSC-NAISO Adademic. Thoemmes Press, 6 p.

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

  4. 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

  5. Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities

    Adams, R. P., Murray, I. & MacKay, D. J. C., 2009, Proceedings of the 26th International Conference on Machine Learning. 8 p.

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

  6. Dynamic Trees: Learning to Model Outdoor Scenes

    Adams, N. J. & Williams, C. K. I., 2002, Computer Vision — ECCV 2002: 7th European Conference on Computer Vision Copenhagen, Denmark, May 28–31, 2002 Proceedings, Part IV. Springer Berlin Heidelberg, p. 82-96 15 p. (Lecture Notes in Computer Science; vol. 2353).

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

  7. Dynamic trees for image modelling

    Adams, N. J. & Williams, C. K. I., Sep 2003, In : Image and vision computing. 21, 10, p. 865-877 13 p.

    Research output: Contribution to journalArticle

  8. Incorporating side information into probabilistic matrix factorization using Gaussian Processes

    Adams, R. P., Dahl, G. E. & Murray, I., 2010, Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010). 9 p.

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

  9. SDTs: sparse dynamic trees

    Adams, N. J. & Williams, C. K. I., 1999, Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470). IET, p. 527-532 vol.2 6 p.

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

Previous 1 2 3 4 5 6 7 8 ...130 Next