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dc.contributor.author
Sutter, Tobias
dc.contributor.author
Ganguly, Arnab
dc.contributor.author
Koeppl, Heinz
dc.date.accessioned
2017-06-12T16:26:35Z
dc.date.available
2017-06-12T16:26:35Z
dc.date.issued
2016
dc.identifier.issn
1532-4435
dc.identifier.issn
1533-7928
dc.identifier.uri
http://hdl.handle.net/20.500.11850/122954
dc.language.iso
en
dc.publisher
MIT Press
dc.subject
Diffusion processes
dc.subject
Hidden Markov model
dc.subject
Optimal control
dc.subject
Stochastic differential equations
dc.subject
Variational inference
dc.title
A variational approach to path estimation and parameter inference of hidden diffusion processes
dc.type
Journal Article
ethz.journal.title
Journal of Machine Learning Research
ethz.journal.volume
17
ethz.journal.abbreviated
J. Mach. Learn. Res.
ethz.pages.start
1
ethz.pages.end
37
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.nebis
004198461
ethz.publication.place
Cambridge, MA
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.::02650 - Institut für Automatik / Automatic Control Laboratory::03751 - Lygeros, John / Lygeros, John
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02650 - Institut für Automatik / Automatic Control Laboratory::03751 - Lygeros, John / Lygeros, John
ethz.date.deposited
2017-06-12T16:30:48Z
ethz.source
ECIT
ethz.identifier.importid
imp593654e44c02687417
ethz.ecitpid
pub:185293
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-15T03:07:51Z
ethz.rosetta.lastUpdated
2022-03-28T15:18:09Z
ethz.rosetta.versionExported
true
ethz.COinS
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