A Short Note on Improvement of Agreement Rate

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dc.contributor.authorKim, Doyeobko
dc.contributor.authorKim, Sung-Hoko
dc.date.accessioned2020-12-30T01:50:03Z-
dc.date.available2020-12-30T01:50:03Z-
dc.date.created2020-12-30-
dc.date.created2020-12-30-
dc.date.issued2020-10-
dc.identifier.citationJOURNAL OF CLASSIFICATION, v.37, no.3, pp.550 - 557-
dc.identifier.issn0176-4268-
dc.identifier.urihttp://hdl.handle.net/10203/279305-
dc.description.abstractConsider a rank-ordering problem, ranking a group of subjects by the conditional probability from a Bayesian network (BN) model of binary variables. The conditional probability is the probability that a subject is in a certain state given an outcome of some other variables. The classification is based on the rank order and the class levels are assigned with equal proportions. Two BN models are said to be similar to each other if they are of the same model structure but with different probability distributions each of which satisfies the positive association condition. LetMbe a set of BN models which are similar to each other. We constructed a BN model M*, which is similar to all the models inMand the best with regard toMin the sense of the Kullback-Leibler divergence measure. It is found by numerical experiments that, on average, the agreement rate of classifications between a model inMand the similar model M* is far larger than that by a random classification and the difference in agreement rate becomes more apparent as the class number increases.-
dc.languageEnglish-
dc.publisherSPRINGER-
dc.titleA Short Note on Improvement of Agreement Rate-
dc.typeArticle-
dc.identifier.wosid000591955800002-
dc.identifier.scopusid2-s2.0-85070949540-
dc.type.rimsART-
dc.citation.volume37-
dc.citation.issue3-
dc.citation.beginningpage550-
dc.citation.endingpage557-
dc.citation.publicationnameJOURNAL OF CLASSIFICATION-
dc.identifier.doi10.1007/s00357-019-09340-6-
dc.contributor.localauthorKim, Sung-Ho-
dc.contributor.nonIdAuthorKim, Doyeob-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorBayesian network-
dc.subject.keywordAuthorConditional probability-
dc.subject.keywordAuthorPositive association-
dc.subject.keywordAuthorSimilarity measure-
dc.subject.keywordAuthorRank order-
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MA-Journal Papers(저널논문)
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