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dc.contributor.authorIrurozki, Ekhine
dc.contributor.authorCeberio Uribe, Josu ORCID
dc.contributor.authorCalvo Molinos, Borja ORCID
dc.contributor.authorLozano Alonso, José Antonio ORCID
dc.date.accessioned2014-01-22T09:08:17Z
dc.date.available2014-01-22T09:08:17Z
dc.date.issued2014-01-22T09:08:17Z
dc.identifier.urihttp://hdl.handle.net/10810/11241
dc.description.abstract[EN]In this paper we deal with probability distributions over permutation spaces. The Probability model in use is the Mallows model. The distance for permutations that the model uses in the Ulam distance.es
dc.language.isoenges
dc.relation.ispartofseriesEHU-KZAA-TR;2014-04
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.subjectpermutationses
dc.subjectMallows modelses
dc.subjectsamplinges
dc.subjectlearninges
dc.subjectUlam distancees
dc.titleSampling and learning the Mallows model under the Ulam distancees
dc.typeinfo:eu-repo/semantics/reportes
dc.departamentoesCiencia de la computación e inteligencia artificiales_ES
dc.departamentoeuKonputazio zientziak eta adimen artifizialaes_ES


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