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Statistical Artificial Intelligence

  1. 2016
  2. Published

    Consistent algorithms for clustering time series

    Khaleghi, A., Ryabko, D., Mari, J. & Preux, P., 03/2016, In: Journal of Machine Learning Research. 17, 3, p. 1-32 32 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    Post-archival genomics and the bulk logistics of DNA sequences

    Mackenzie, A., McNally, R., Mills, R. & Sharples, S., 03/2016, In: BioSocieties. 11, 1, p. 82-105 24 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Published

    Changepoint detection for acoustic sensing signals

    Pickering, B., 2016, Lancaster University. 203 p.

    Research output: ThesisDoctoral Thesis

  5. Published

    Exploration and exploitation in Bayes sequential decision problems

    Edwards, J., 2016, Lancaster University. 160 p.

    Research output: ThesisDoctoral Thesis

  6. Published

    Projection methods for clustering and semi-supervised classification

    Hofmeyr, D., 2016, Lancaster University. 233 p.

    Research output: ThesisDoctoral Thesis

  7. Published

    Understanding consumer demand in customised pricing environments

    Patel, S., 2016, Lancaster University. 193 p.

    Research output: ThesisDoctoral Thesis

  8. 2015
  9. Published

    Estimating the population local wavelet spectrum with application to non-stationary functional magnetic resonance imaging time series

    Gott, A., Eckley, I. & Aston, J., 20/12/2015, In: Statistics in Medicine. 34, 29, p. 3901-3915 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Published

    Bayesian Reinforcement Learning in Markovian and non-Markovian Tasks

    Ez-Zizi, A., Farrell, S. & Leslie, D. S., 7/12/2015, Computational Intelligence, 2015 IEEE Symposium Series on . Cape Town: IEEE, p. 579-586 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  11. Published

    Maximum Clusterability Divisive Clustering

    Hofmeyr, D. & Pavlidis, N. G., 7/12/2015, Computational Intelligence, 2015 IEEE Symposium Series on . Cape Town: IEEE, p. 780-786 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  12. Published

    The Fitbit generation: from couch potato to marathon runner

    Haynes, K., 12/2015, In: Significance. 12, 6, p. 24-25 2 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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