Perturbation Based Large Margin Approach for Ranking

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 149
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorYang, Eunho-
dc.contributor.authorTewari, Ambuj-
dc.contributor.authorRavikumar, Pradeep-
dc.date.accessioned2016-10-13T02:28:11Z-
dc.date.available2016-10-13T02:28:11Z-
dc.date.created2016-09-25-
dc.date.issued2012-04-21-
dc.identifier.citationInternational Conference on Artificial Intelligence and Statistics (AISTATS)-
dc.identifier.urihttp://hdl.handle.net/10203/213343-
dc.languageEnglish-
dc.publisherAISTATS-
dc.titlePerturbation Based Large Margin Approach for Ranking-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameInternational Conference on Artificial Intelligence and Statistics (AISTATS)-
dc.identifier.conferencecountrySP-
dc.identifier.conferencelocationLa Palma, Canary Islands-
dc.contributor.localauthorYang, Eunho-
dc.contributor.nonIdAuthorTewari, Ambuj-
dc.contributor.nonIdAuthorRavikumar, Pradeep-
Appears in Collection
CS-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0