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  Learning Taxonomy Adaptation in Large-scale Classification

Babbar, R., Partalas, I., Gaussier, E., Amini, M., & Amblard, C. (2016). Learning Taxonomy Adaptation in Large-scale Classification. Journal of Machine Learning Research, 17(1), 3350-3386. Retrieved from http://dl.acm.org/citation.cfm?id=2946645.3007051.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-197E-8 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-197F-6
Genre: Journal Article

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 Creators:
Babbar, R.1, Author           
Partalas, I.2, Author
Gaussier, E.2, Author
Amini, M.2, Author
Amblard, C.2, Author
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Schölkopf
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Language(s): eng - English
 Dates: 2016-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: BabbarPGAA2015
URI: http://dl.acm.org/citation.cfm?id=2946645.3007051
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Title: Journal of Machine Learning Research
Source Genre: Journal
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Publ. Info: JMLR.org
Pages: - Volume / Issue: 17 (1) Sequence Number: - Start / End Page: 3350 - 3386 Identifier: ISSN: 1532-4435