Statistical Learning Techniques for Text Categorization with Sparse Labeled Data

Ifrim, Georgiana

doi:10.22028/D291-25940

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Thesis

Statistical Learning Techniques for Text Categorization with Sparse Labeled Data

MPS-Authors

/persons/resource/persons44668

Ifrim, Georgiana
Databases and Information Systems, MPI for Informatics, Max Planck Society;
International Max Planck Research School, MPI for Informatics, Max Planck Society;

External Resource

http://scidok.sulb.uni-saarland.de/volltexte/2009/2236/
(Any fulltext)

http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
(Copyright transfer agreement)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

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

Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-17EB-3

Abstract

There is no abstract available