Now showing items 3-4 of 4

  • Inferential measurements for situation awareness: enhancing traffic surveillance by machine learning. 

    Rattadilok, Prapa; Petrovski, Andrei (IEEE http://dx.doi.org/10.1109/CIVEMSA.2013.6617402, 2013-07)
    RATTADILOK, P. and PETROVSKI, A., 2013. Inferential measurements for situation awareness: enhancing traffic surveillance by machine learning. In: Proceedings of the 2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). 15-17 July 2013. Piscataway, NJ: IEEE. Pp. 93 – 98.
    The paper proposes a generic approach to building inferential measurement systems. The large amount of data needed to be acquired and processed by such systems necessitates the use of machine learning techniques. In this ...
  • Learning adaptation knowledge to improve case-based reasoning 

    Craw, Susan; Wiratunga, Nirmalie; Rowe, Ray (Elsevier http://dx.doi.org/10.1016/j.artint.2006.09.001, 2006-11)
    CRAW, S., WIRATUNGA, N. and ROWE, R., 2006. Learning adaptation knowledge to improve case-based reasoning. Artificial Intelligence, 170 (16-17), pp. 1175-1192.
    Case-Based Reasoning systems retrieve and reuse solutions for previously solved problems that have been encountered and remembered as cases. In some domains, particularly where the problem solving is a classification task, ...