Now showing items 1-2 of 2

  • A fine-grained random forests using class decomposition: an application to medical diagnosis. 

    Elyan, Eyad; Gaber, Mohamed Medhat (Springer http://dx.doi.org/10.1007/s00521-015-2064-z, 2015-09-22)
    ELYAN, E. and GABER, M.M. 2015. A fine-grained random forests using class decomposition: an application to medical diagnosis. Neural computing and applications [online], FirstOnline. Available from: http://dx.doi.org/10.1007/s00521-015-2064-z
    Class decomposition describes the process of segmenting each class into a number of homogeneous subclasses. This can be naturally achieved through clustering. Utilising class decomposition can provide a number of benefits ...
  • On pruning and feature engineering in Random Forests. 

    Fawagreh, Khaled (Robert Gordon University Faculty of Design and Technology, School of Computing Science and Digital Media, 2016-10-01)
    FAWAGREH, K. 2016. On pruning and feature engineering in Random Forests. Robert Gordon University, PhD thesis.
    Random Forest (RF) is an ensemble classification technique that was developed by Leo Breiman over a decade ago. Compared with other ensemble techniques, it has proved its accuracy and superiority. Many researchers, ...