%Aigaion2 BibTeX export from Idiap Publications
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@TECHREPORT{barber:hypothesis:rr:04:57,
                      author = {Barber, David},
                    projects = {Idiap},
                       month = {5},
                       title = {Are two Classifiers performing equally? A treatment using Bayesian Hypothesis Testing},
                        type = {Idiap-RR},
                      number = {Idiap-RR-57-2004},
                        year = {2004},
                 institution = {IDIAP},
                     address = {Rue de Simplon 4, Martigny, CH-1920, Switerland},
                        note = {IDIAP-RR 04-57},
                    abstract = {We consider here how to assess if two classifiers, based on a set of test error results, are performing equally well. This question is often considered in the realm of sampling theory, based on classical hypothesis testing. Here we present a simple Bayesian treatment that is quite general, and also is able to deal with the (practically common) case where the errors that two classifiers make are dependent.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2004/barber_dirichlet_test_idiap_rr.pdf},
                  postscript = {ftp://ftp.idiap.ch/pub/reports/2004/barber_dirichlet_test_idiap_rr.ps.gz},
ipdmembership={learning},
}