%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},
}