<div class="csl-bib-body">
<div class="csl-entry">Brand, C., Ganian, R., & Simonov, K. (2023). A Parameterized Theory of PAC Learning. In B. Williams, Y. Chen, & J. Neville (Eds.), <i>Proceedings of the AAAI Conference on Artificial Intelligence</i> (pp. 6834–6841). AAAI Press. https://doi.org/10.1609/aaai.v37i6.25837</div>
</div>
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http://hdl.handle.net/20.500.12708/188263
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dc.language.iso
en
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dc.relation.ispartofseries
Proceedings of the ... AAAI Conference on Artificial Intelligence
-
dc.subject
PAC learning
en
dc.subject
Parameterized complexity
en
dc.subject
Sample complexity
en
dc.subject
Learning Theory
en
dc.subject
Computational Complexity of Reasoning
en
dc.subject
Reinforcement Learning Theory
en
dc.title
A Parameterized Theory of PAC Learning
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
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dc.contributor.affiliation
Hasso Plattner Institute
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dc.contributor.editoraffiliation
Royal Holloway University of London, United Kingdom of Great Britain and Northern Ireland (the)
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dc.relation.isbn
978-1-57735-880-0
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dc.relation.issn
2159-5399
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dc.description.startpage
6834
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dc.description.endpage
6841
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Full-Paper Contribution
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2374-3468
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tuw.booktitle
Proceedings of the AAAI Conference on Artificial Intelligence
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37, 6
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true
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AAAI Press
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Washington DC
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I1
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Logic and Computation
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100
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E192 - Institut für Logic and Computation
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tuw.publication.orgunit
E192-01 - Forschungsbereich Algorithms and Complexity
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tuw.publisher.doi
10.1609/aaai.v37i6.25837
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8
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tuw.event.name
The 37th AAAI Conference on Artificial Intelligence (AAAI -23)
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tuw.event.startdate
07-02-2023
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14-02-2023
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On Site
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tuw.event.place
Washington DC
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US
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tuw.event.presenter
Ganian, Robert
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Informatik
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Mathematik
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1020
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1010
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E192-01 - Forschungsbereich Algorithms and Complexity
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E192-01 - Forschungsbereich Algorithms and Complexity
