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  Statistical Learning Techniques for Text Categorization with Sparse Labeled Data

Ifrim, G. (2009). Statistical Learning Techniques for Text Categorization with Sparse Labeled Data. PhD Thesis, Universität des Saarlandes, Saarbrücken. doi:10.22028/D291-25940.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-17EB-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-6F09-F
Genre: Thesis

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Ifrim-PhD-03-09.pdf (Any fulltext), 936KB
 
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 Creators:
Ifrim, Georgiana1, 2, Author           
Weikum, Gerhard1, Advisor           
Hofmann, Thomas3, Referee
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2International Max Planck Research School, MPI for Informatics, Max Planck Society, Campus E1 4, 66123 Saarbrücken, DE, ou_1116551              
3External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2009-06-122009-02-2720092009
 Publication Status: Issued
 Pages: -
 Publishing info: Saarbrücken : Universität des Saarlandes
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 520396
Other: Local-ID: C1256DBF005F876D-930B3ABFA8D01086C125756A0054EAEA-Ifrim-PhD-2009
DOI: 10.22028/D291-25940
URN: urn:nbn:de:bsz:291-scidok-22361
Other: hdl:20.500.11880/25996
 Degree: PhD

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