A comparison of Bayesian classification trees and random forest to identify classifiers for childhood leukaemia

R.A. O'Leary, R.W. Francis, Kim Carter, Martin Firth, Ursula Kees, Nicholas De Klerk

Research output: Chapter in Book/Conference paperConference paper

2 Citations (Scopus)
Original languageEnglish
Title of host publicationA comparison of Bayesian classification trees and random forest to identify classifiers for childhood leukaemia
EditorsR.S. Anderssen, R.D. Braddock, L.T.H. Newham
Place of PublicationCairns, Australia
PublisherModelling and Simulation Society of Australia and New Zealand Inc.
Pages369-375
VolumeNA
EditionCairns, Australia
ISBN (Print)9780975840078
Publication statusPublished - 2009
EventA comparison of Bayesian classification trees and random forest to identify classifiers for childhood leukaemia - Cairns, Australia
Duration: 1 Jan 2009 → …

Conference

ConferenceA comparison of Bayesian classification trees and random forest to identify classifiers for childhood leukaemia
Period1/01/09 → …

Cite this

O'Leary, R. A., Francis, R. W., Carter, K., Firth, M., Kees, U., & De Klerk, N. (2009). A comparison of Bayesian classification trees and random forest to identify classifiers for childhood leukaemia. In R. S. Anderssen, R. D. Braddock, & L. T. H. Newham (Eds.), A comparison of Bayesian classification trees and random forest to identify classifiers for childhood leukaemia (Cairns, Australia ed., Vol. NA, pp. 369-375). Modelling and Simulation Society of Australia and New Zealand Inc..