A Bayesian Learning Approach to Concept-Based Document Classification

Ifrim, Georgiana

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A Bayesian Learning Approach to Concept-Based Document Classification

Ifrim, G. (2005). A Bayesian Learning Approach to Concept-Based Document Classification. Master Thesis, Universität des Saarlandes, Saarbrücken.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2581-2 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0027-D5CF-F

Genre: Thesis

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Ifrim_master.pdf (Any fulltext), 419KB

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Creators:
Ifrim, Georgiana^{1, 2}, Author
Weikum, Gerhard¹, Advisor
Theobald, Martin¹, 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

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Language(s): eng - English

Dates: Modified: 2005-05-02Accepted: 2005Date issued: 2005

Publication Status: Issued

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Publishing info: Saarbrücken : Universität des Saarlandes

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Identifiers: eDoc: 278931
Other: Local-ID: C1256DBF005F876D-3A9028DC2228AB1BC1256FBF003B1738-Ifrim2005

Degree: Master

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