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Algorithms for Direct 0-1 Loss Optimization in Binary Classication

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dc.contributor.authorNguyen, Tan T.
dc.contributor.authorSanner, Scott
dc.coverage.spatialAtlanta United States of America
dc.date.accessioned2015-12-10T23:20:06Z
dc.date.createdJune 16-21 2013
dc.date.issued2013
dc.date.updated2015-12-10T10:20:11Z
dc.identifier.urihttp://hdl.handle.net/1885/66172
dc.publisherMIT Press
dc.relation.ispartofseries30th International Conference on Machine Learning ICML 2013
dc.sourceThe Sample-Complexity of General Reinforcement Learning
dc.titleAlgorithms for Direct 0-1 Loss Optimization in Binary Classication
dc.typeConference paper
local.bibliographicCitation.lastpage9
local.bibliographicCitation.startpage1
local.contributor.affiliationNguyen, Tan T., Queensland University of Technolgy QUT
local.contributor.affiliationSanner, Scott, College of Engineering and Computer Science, ANU
local.contributor.authoruidSanner, Scott, u1817461
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor170203 - Knowledge Representation and Machine Learning
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB1234
local.type.statusPublished Version

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