A comprehensive empirical comparison of hubness reduction in high-dimensional spaces-Reference-Cited by-同舟云学术

A comprehensive empirical comparison of hubness reduction in high-dimensional spaces

Published:2018-05-18 Issue:1 Volume:59 Page:137-166
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Feldbauer Roman^ORCID,Flexer Arthur^ORCID

Funder

Austrian Science Fund

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10115-018-1205-y.pdf

Reference64 articles.

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2. Aryal S, Ting KM, Washio T, Haffari G (2017) Data-dependent dissimilarity measure: an effective alternative to geometric distance measures. Knowl Inf Syst 53(2):479–506

3. Aucouturier JJ, Pachet F (2004) Improving timbre similarity: how high is the sky. J Negat Results Speech Audio Sci 1(1):1–13

4. Bellman RE (1961) Adaptive control processes: a guided tour. Princeton University Press, Princeton

5. Bergstra J, Bengio Y (2012) Random search for hyper-parameter optimization. J Mach Learn Res 13:281–305

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