Input variable selection using independent component analysis

@inproceedings{Back1999InputVS,
  title={Input variable selection using independent component analysis},
  author={Andrew D. Back and Thomas P. Trappenberg},
  booktitle={IJCNN},
  year={1999}
}
Theproblemof inputvariableselectionis well knownin the task of modelingreal world data. In this paper , we proposea novelmodel-freealgorithmfor input variableselection usingindependent componentanalysisandhigherorder crossstatistics. Experimentalresultsare givenwhich indicatethat the methodis capableof giving reliable performanceand that it outperformsother approacheswhen theinputsare dependent. 
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Showing 1-7 of 7 references

Dimensionreductionby localprincipalcomponentanalysis,

  • Nandakishore Kambhatla, Todd K. Leen
  • Neural Computation,
  • 1997
1 Excerpt

Fast pruningusingprincipal components,

  • Asriel U. Levin, Todd K. Leen, andJohnE. Moody
  • Kendall ’ s Advanced Theory of Statistics : Sixth…
  • 1994
1 Excerpt

Leen , “ Dimension reduction by local principal component analysis

  • Jack D. Cowan, Gerald Tesauro
  • Advances in Neural Information Processing Systems
  • 1994

Ord, Kendall’s AdvancedTheoryof Statistics: SixthEdition Volume1

  • A. StuartandK
  • 1994
1 Excerpt

Selecting input variables using mutual information and nonparamteric density etimation

  • A. S. Weigend
  • Proceedings of the 1994 International Symposium…
  • 1994

Selectinginput variablesusingmutualinformationandnonparamtericdensityestimation,

  • B. V. BonnlanderandA.S. Weigend
  • Proceedingsof the 1994InternationalSymposiumon…
  • 1994
2 Excerpts

Blind separationof sources,PartI: An adapti ve algorithmbasedon neuromimeticarchitecture,

  • C. JuttenandJ.Herault
  • SignalProcessing,
  • 1991
1 Excerpt

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