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  Recurrent Marked Temporal Point Processes: Embedding Event History to Vector

Du, N., Dai, H., Trivedi, R., Upadhyay, U., Gomez Rodriguez, M., & Song, L. (2016). Recurrent Marked Temporal Point Processes: Embedding Event History to Vector. In KDD'16 (pp. 1555-1564). New York, NY: ACM. doi:10.1145/2939672.2939875.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-F6EA-D Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-F6EB-B
Genre: Conference Paper

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 Creators:
Du, Nan1, Author
Dai, Hanjun1, Author
Trivedi, Rakshit1, Author
Upadhyay, Utkarsh2, Author           
Gomez Rodriguez, Manuel2, Author           
Song, Le1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Group M. Gomez Rodriguez, Max Planck Institute for Software Systems, Max Planck Society, ou_2105290              

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Language(s): eng - English
 Dates: 20162016
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: DuKDD2016
DOI: 10.1145/2939672.2939875
 Degree: -

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Title: 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Place of Event: San Francisco, CA, USA
Start-/End Date: 2016-08-13 - 2016-08-17

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Title: KDD'16
  Abbreviation : KDD 2016
  Subtitle : Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ; August 13-17, 2016, San Francisco, CA, USA
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1555 - 1564 Identifier: ISBN: 978-1-4503-4232-2