Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method

Chen, Chen; Zhang, Kun; Chan, L.

doi:10.1109/ICDM.2013.103

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Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method

Chen, C., Zhang, K., & Chan, L. (2013). Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method. In IEEE Proceedings 13th International Conference on Data Mining (ICDM 13) (pp. 1003-1008). doi:10.1109/ICDM.2013.103.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0015-376E-D Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-5F44-A

Genre: Conference Paper

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Creators:
Chen, Chen¹, Author
Zhang, Kun², Author
Chan, L., 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

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Language(s): eng - English

Dates: Published Online: 2013

Publication Status: Published online

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Identifiers: BibTex Citekey: ChenZC2013
DOI: 10.1109/ICDM.2013.103

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Title: IEEE International Conference on Data Mining (ICDM 13)

Place of Event: Dallas, Texas, USA

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Title: IEEE Proceedings 13th International Conference on Data Mining (ICDM 13)

Source Genre: Proceedings

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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1003 - 1008 Identifier: ISSN: 1550-4786