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dc.contributor.author
Steimer, Andreas
dc.contributor.supervisor
Douglas, Rodney James
dc.contributor.supervisor
Liu, Shih-Chii
dc.date.accessioned
2017-06-13T18:45:46Z
dc.date.available
2017-06-13T18:45:46Z
dc.date.issued
2012
dc.identifier.uri
http://hdl.handle.net/20.500.11850/153834
dc.identifier.doi
10.3929/ethz-a-007623280
dc.format
application/pdf
dc.language.iso
en
dc.publisher
ETH
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
NEURONALE NETZWERKE + KONNEKTIONISMUS (KÜNSTLICHE INTELLIGENZ)
dc.subject
BAYES'SCHE NETZWERKE (MATHEMATISCHE LOGIK)
dc.subject
MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ)
dc.subject
NEURAL NETWORKS + CONNECTIONISM (ARTIFICIAL INTELLIGENCE)
dc.subject
BAYESIAN NETWORKS (MATHEMATICAL LOGIC)
dc.subject
MACHINE LEARNING (ARTIFICIAL INTELLIGENCE)
dc.title
Neurally inspired models of belief-propagation in arbitrary graphical models
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2013
ethz.size
1 Band
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
ethz.notes
Diss., Eidgenössische Technische Hochschule ETH Zürich, Nr. 20325, 2012.
ethz.identifier.diss
20325
ethz.identifier.nebis
007623280
ethz.publication.place
Zürich
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.
ethz.leitzahl
03453 - Douglas, Rodney J.
ethz.date.deposited
2017-06-13T18:52:52Z
ethz.source
ECOL
ethz.identifier.importid
imp59366b384e9c531389
ethz.ecolpid
eth:6632
ethz.eth
yes
ethz.availability
Open access
ethz.rosetta.installDate
2017-07-31T12:39:15Z
ethz.rosetta.lastUpdated
2020-02-15T04:28:00Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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