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  k-NN Regression Adapts to Local Intrinsic Dimension

Kpotufe, S. (2012). k-NN Regression Adapts to Local Intrinsic Dimension. In J. Shawe-Taylor, R. Zemel, P. Bartlett, F. Pereira, & K. Q. Weinberger (Eds.), Advances in Neural Information Processing Systems 24 (pp. 729-737). Red Hook, NY: Curran Associates, Inc. Retrieved from https://papers.nips.cc/paper/2011/hash/05f971b5ec196b8c65b75d2ef8267331-Abstract.html.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-ED6D-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-ED6E-1
Genre: Conference Paper

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 Creators:
Kpotufe, Samory1, 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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Language(s): eng - English
 Dates: 20112012-04
 Publication Status: Issued
 Pages: 9
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: URI: https://papers.nips.cc/paper/2011/hash/05f971b5ec196b8c65b75d2ef8267331-Abstract.html
BibTex Citekey: Kpotufe2012
 Degree: -

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Title: 25th Annual Conference on Neural Information Processing Systems (NIPS 2011)
Place of Event: Granada
Start-/End Date: 2011-12-12 - 2011-12-15

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Title: Advances in Neural Information Processing Systems 24
  Subtitle : 25th Annual Conference on Neural Information Processing Systems 2011
Source Genre: Proceedings
 Creator(s):
Shawe-Taylor, J.1, Editor
Zemel, R.1, Editor
Bartlett, P.1, Editor
Pereira, F.1, Editor
Weinberger, K. Q.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Red Hook, NY : Curran Associates, Inc.
Pages: - Volume / Issue: 1 Sequence Number: - Start / End Page: 729 - 737 Identifier: ISBN: 978-1-61839-599-3
URI: https://papers.nips.cc/paper/2011