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Expert Mixture Methods for Adaptive Channel Equalization

Harrington, Edward

Description

Mixture of expert algorithms are able to achieve a total loss close to the total loss of the best expert over a sequence of examples. We consider the use of mixture of expert algorithms applied to the signal processing problem of channel equalization. We

dc.contributor.authorHarrington, Edward
dc.coverage.spatialIstanbul Turkey
dc.date.accessioned2015-12-13T23:07:12Z
dc.date.available2015-12-13T23:07:12Z
dc.date.createdJune 26 2003
dc.identifier.isbn3540404082
dc.identifier.urihttp://hdl.handle.net/1885/86100
dc.description.abstractMixture of expert algorithms are able to achieve a total loss close to the total loss of the best expert over a sequence of examples. We consider the use of mixture of expert algorithms applied to the signal processing problem of channel equalization. We
dc.publisherSpringer
dc.relation.ispartofseriesJoint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing (ICANN/ICONIP-2003)
dc.sourceArtificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003
dc.titleExpert Mixture Methods for Adaptive Channel Equalization
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2003
local.identifier.absfor090609 - Signal Processing
local.identifier.ariespublicationMigratedxPub14843
local.type.statusPublished Version
local.contributor.affiliationHarrington, Edward, College of Engineering and Computer Science, ANU
local.bibliographicCitation.startpage538
local.bibliographicCitation.lastpage545
dc.date.updated2015-12-12T08:08:14Z
local.identifier.scopusID2-s2.0-21144455917
CollectionsANU Research Publications

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