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dc.contributor.author
Frongillo, Rafael
dc.contributor.author
Witkowski, Jens
dc.contributor.editor
Association for the Advancement of Artificial Intelligence
dc.date.accessioned
2017-06-12T19:17:15Z
dc.date.available
2017-06-12T19:17:15Z
dc.date.issued
2016
dc.identifier.uri
http://hdl.handle.net/20.500.11850/127371
dc.language.iso
en
dc.publisher
AAAI Association for the Advancement of Artificial Intelligence
dc.subject
Mechanism Design
dc.subject
Peer Prediction
dc.subject
Incentive Schemes
dc.subject
Computational Geometry
dc.subject
Power Diagram
dc.subject
Robustness
dc.title
A Geometric Method to Construct Minimal Peer Prediction Mechanisms
dc.type
Conference Paper
ethz.book.title
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)
ethz.pages.start
502
ethz.pages.end
508
ethz.size
7 p.
ethz.event
Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)
ethz.event.location
Phoenix, AZ, USA
ethz.event.date
February 12-17, 2016
ethz.notes
.
ethz.publication.place
Palo Alto, CA
ethz.publication.status
published
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::03908 - Krause, Andreas / Krause, Andreas
ethz.leitzahl.certified
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::03908 - Krause, Andreas / Krause, Andreas
ethz.date.deposited
2017-06-12T19:18:06Z
ethz.source
ECIT
ethz.identifier.importid
imp5936552ecdfac55708
ethz.ecitpid
pub:190203
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-14T18:28:33Z
ethz.rosetta.lastUpdated
2018-11-03T02:15:08Z
ethz.rosetta.versionExported
true
ethz.COinS
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