Probabilistic Models and Approximate Inference Methods for Structured Data
dc.contributor.author
Ruggeri, Nicolò
dc.contributor.supervisor
Yang, Fan
dc.contributor.supervisor
De Bacco, Caterina
dc.contributor.supervisor
Young, J.
dc.date.accessioned
2024-11-22T13:06:31Z
dc.date.available
2024-11-22T09:54:34Z
dc.date.available
2024-11-22T13:06:31Z
dc.date.issued
2024
dc.identifier.uri
http://hdl.handle.net/20.500.11850/706643
dc.identifier.doi
10.3929/ethz-b-000706643
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Probabilistic Models and Approximate Inference Methods for Structured Data
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.size
153 p.
en_US
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
en_US
ethz.identifier.diss
30480
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::09652 - Yang, Fan / Yang, Fan
en_US
ethz.relation.cites
10.3929/ethz-b-000622902
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10.3929/ethz-b-000666113
ethz.relation.cites
10.3929/ethz-b-000690787
ethz.relation.cites
10.3929/ethz-b-000670511
ethz.relation.cites
10.48550/arXiv.2204.00492
ethz.date.deposited
2024-11-22T09:54:35Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2024-11-22T13:07:13Z
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2024-11-22T13:07:13Z
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Publikationstyp
-
Doctoral Thesis [30328]