Sampling and learning the Mallows and Weighted Mallows models under the Hamming distance

dc.contributor.author	Irurozki, Ekhine
dc.contributor.author	Calvo Molinos, Borja
dc.contributor.author	Lozano Alonso, José Antonio
dc.date.accessioned	2014-01-22T09:07:10Z
dc.date.available	2014-01-22T09:07:10Z
dc.date.issued	2014-01-22T09:07:10Z
dc.identifier.uri	http://hdl.handle.net/10810/11240
dc.description.abstract	[EN]In this paper we deal with distributions over permutation spaces. The Mallows model is the mode l in use. The associated distance for permutations is the Hamming distance.	es
dc.language.iso	eng	es
dc.relation.ispartofseries	EHU-KZAA-TR;2014-03
dc.rights	info:eu-repo/semantics/openAccess	es
dc.subject	permutations	es
dc.subject	Mallows models	es
dc.subject	sampling	es
dc.subject	learning	es
dc.subject	Hamming distance	es
dc.title	Sampling and learning the Mallows and Weighted Mallows models under the Hamming distance	es
dc.type	info:eu-repo/semantics/report	es
dc.departamentoes	Ciencia de la computación e inteligencia artificial	es_ES
dc.departamentoeu	Konputazio zientziak eta adimen artifiziala	es_ES