Machine learning methods for formal dynamical systems: a systems biology case study

Project Details

StatusFinished
Effective start/end date1/10/1231/03/16

Funding

  • UK industry, commerce and public corporations: £35,500.00

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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Probabilistic Programming Process Algebra

    Georgoulas, A., Hillston, J., Milios, D. & Sanguinetti, G., 8 Sep 2014, Quantitative Evaluation of Systems: 11th International Conference, QEST 2014, Florence, Italy, September 8-10, 2014. Proceedings. Springer International Publishing, p. 249-264 16 p. (Lecture Notes in Computer Science; vol. 8657).

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

    Open Access
    File
  • ABC-Fun: A Probabilistic Programming Language for Biology

    Georgoulas, A., Hillston, J. & Sanguinetti, G., 2013, Computational Methods in Systems Biology: 11th International Conference, CMSB 2013, Klosterneuburg, Austria, September 22-24, 2013. Proceedings. Gupta, A. & Henzinger, T. A. (eds.). Springer-Verlag GmbH, p. 150-163 14 p. (Lecture Notes in Computer Science; vol. 8130).

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

    Open Access
    File