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  Modeling Information Propagation with Survival Theory

Gomez Rodriguez, M., Lescovec, J., & Schölkopf, B. (2013). Modeling Information Propagation with Survival Theory. In S. Dasgupta (Ed.), Proceedings of the 30th International Conference on Machine Learning (pp. 666-674). Brookline, MA: Microtome Publishing. Retrieved from http://jmlr.org/proceedings/papers/v28/gomez-rodriguez13.pdf.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0017-AD22-7 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-51B7-D
Genre: Conference Paper

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 Creators:
Gomez Rodriguez, M.1, Author           
Lescovec, J., Author
Schölkopf, B.1, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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 Dates: 2013
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: GomezRodriguezLS2013
URI: http://jmlr.org/proceedings/papers/v28/gomez-rodriguez13.pdf
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Title: 30th International Conference on Machine Learning (ICML 2013)
Place of Event: Atlanta, Georgia, USA
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Title: Proceedings of the 30th International Conference on Machine Learning
Source Genre: Proceedings
 Creator(s):
Dasgupta, Sanjoy, Editor
McAllester, David, Author
Affiliations:
-
Publ. Info: Brookline, MA : Microtome Publishing
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 666 - 674 Identifier: URI: http://jmlr.org/proceedings/papers/v28/#cycle-3

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Title: JMLR: Workshop and Conference Proceedings
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 28, cycle 3 Sequence Number: - Start / End Page: - Identifier: ISSN: 1938-7228