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  Scalable Influence Estimation in Continuous-Time Diffusion Networks

Du, N., Song, L., Gomez Rodriguez, M., & Zha, H. (2014). Scalable Influence Estimation in Continuous-Time Diffusion Networks. In C. J. Burges, L. Bottou, M. Welling, Z. Ghahramani, & K. Q. Weinberger (Eds.), Advances in Neural Information Processing Systems 26 (pp. 3172-3180). Red Hook, NY: Curran Associates, Inc. Retrieved from https://papers.nips.cc/paper/2013/hash/8fb21ee7a2207526da55a679f0332de2-Abstract.html.

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 Creators:
Du, Nan1, Author
Song, Le1, Author
Gomez Rodriguez, Manuel2, Author           
Zha, Hongyuan1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. 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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Language(s): eng - English
 Dates: 20132014-04
 Publication Status: Issued
 Pages: 9
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: 27th Annual Conference on Neural Information Processing Systems (NIPS 2013)
Place of Event: Lake Tahoe, NV
Start-/End Date: 2013-12-05 - 2013-12-10

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Title: Advances in Neural Information Processing Systems 26
  Subtitle : 27th Annual Conference on Neural Information Processing Systems 2013
Source Genre: Proceedings
 Creator(s):
Burges, C. J.1, Editor
Bottou, L.1, Editor
Welling, M.1, Editor
Ghahramani, Z.1, Editor
Weinberger, K. Q.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Red Hook, NY : Curran Associates, Inc.
Pages: - Volume / Issue: 2 Sequence Number: - Start / End Page: 3172 - 3180 Identifier: ISBN: 978-1-63266-024-4
URI: https://papers.nips.cc/paper/2013