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  Support vector machine learning for interdependent and structured output spaces

Tsochantaridis, I., Hofmann, T., Joachims, T., & Altun, Y. (2004). Support vector machine learning for interdependent and structured output spaces. In Twenty-first International Conference on Machine Learning (ICML 2004) (pp. 1-8). Menlo Park, CA, USA: AAAI Press.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D8AB-4 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D8AC-2
Genre: Conference Paper

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 Creators:
Tsochantaridis, I, Author
Hofmann, T1, Author           
Joachims, T, Author
Altun, Y1, Author           
Greiner D. Schuurmans, R., Editor
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Dates: 2004-07
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: URI: http://www.informatik.uni-trier.de/~ley/db/conf/icml/icml2004.html
DOI: 10.1145/1015330.1015341
BibTex Citekey: TsochantaridisHJA2004
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Title: Twenty-first International Conference on Machine Learning (ICML 2004)
Place of Event: Banff, Canada
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Title: Twenty-first International Conference on Machine Learning (ICML 2004)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Menlo Park, CA, USA : AAAI Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 8 Identifier: -