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Results for High-performance Computing

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. Experiences with parallelisation of an existing NLP pipeline: tagging Hansard

    Wattam, S., Rayson, P., Alexander, M. & Anderson, J., 2014, LREC 2014, Ninth International Conference on Language Resources and Evaluation. Calzolari, N., Choukri, K., Declerck, T., Loftsson, H., Maegaard, B., Mariani, J., Moreno, A., Odijk, J. & Piperidis, S. (eds.). Paris: EUROPEAN LANGUAGE RESOURCES ASSOC-ELRA, p. 4093-4096 4 p.

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