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Results for Machine Learning

Publications & Outputs

  1. Machine learning for dynamic incentive problems

    Renner, P. & Scheidegger, S. 11/2017 Lancaster: Lancaster University, Department of Economics, (Economics Working Papers Series)

    Research output: Working paper

  2. Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies

    Finlay, S. M. 28/05/2017 2nd ed. UK: Relativistic. 150 p.

    Research output: Book/Report/ProceedingsBook

  3. Minimizing the cost of iterative compilation with active learning

    Ogilvie, W., Petoumenos, . P., Wang, Z. & Leather, H. 4/02/2017 International Symposium on Code Generationand Optimization (CGO), 2017. IEEE, p. 245-256 12 p.

    Research output: Contribution in Book/Report/ProceedingsConference contribution

  4. Learning tone and attribution for financial text mining

    El-Haj, M., Rayson, P. E., Young, S. E., Walker, M., Moore, A., Athanasakou, V. & Schleicher, T. 23/05/2016 Proceedings of LREC 2016, Tenth International Conference on Language Resources and Evaluation. Calzolari, N., Choukri, K., Declerck, T., Grobelnik, M., Maegaard, B., Mariani, J., Moreno, A., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 1820-1825 6 p.

    Research output: Contribution in Book/Report/ProceedingsConference contribution

Activities

  1. Batteries

    Dr Denes Csala (Peer reviewer), 04/2017

    Activity: Editorial work or peer review of publicationsPublication peer-review