Learning in the Limit with Lattice-structured Hypothesis Spaces

Heinz, Jeffrey; Kasprzik, Anna; Kötzing, Timo

doi:10.1016/j.tcs.2012.07.017

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Learning in the Limit with Lattice-structured Hypothesis Spaces

Heinz, J., Kasprzik, A., & Kötzing, T. (2012). Learning in the Limit with Lattice-structured Hypothesis Spaces. Theoretical Computer Science, 457, 111-127. doi:10.1016/j.tcs.2012.07.017.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-C4A2-8 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0019-775B-B

Genre: Journal Article

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Creators:
Heinz, Jeffrey¹, Author
Kasprzik, Anna¹, Author
Kötzing, Timo², Author

Affiliations:
1External Organizations, ou_persistent22
2Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019

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Language(s): eng - English

Dates: Published Online: 2012-07-24Date issued: 2012

Publication Status: Issued

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Identifiers: Other: Local-ID: 50B10C29A2823E46C1257AC6004F575D-HeinyKasprzikKoetzing2012
BibTex Citekey: HeinyKasprzikKoetzing2012
DOI: 10.1016/j.tcs.2012.07.017

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Title: Theoretical Computer Science

Source Genre: Journal

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Publ. Info: Amsterdam : Elsevier

Pages: - Volume / Issue: 457 Sequence Number: - Start / End Page: 111 - 127 Identifier: ISSN: 0304-3975