Projection learning models

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a learning framework based on projection. Essentially, the learning framework exploits the advantages of linear learning paradigms for regression and classification applications. By incorporating appropriate nonlinear basis or embedding functions, the projection learning framework can be applied to learn arbitrary functions. Several preliminary case studies are provided to evident the behavior of a few specific projection models.

Original languageEnglish
Title of host publication2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
Pages2151-2155
Number of pages5
DOIs
Publication statusPublished - 2008 Sep 23
Event2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008 - Singapore, Singapore
Duration: 2008 Jun 32008 Jun 5

Publication series

Name2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008

Other

Other2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
CountrySingapore
CitySingapore
Period08/6/308/6/5

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this

Toh, K. A., & Teoh, A. B. J. (2008). Projection learning models. In 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008 (pp. 2151-2155). [4582899] (2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008). https://doi.org/10.1109/ICIEA.2008.4582899
Toh, Kar Ann ; Teoh, Andrew Beng Jin. / Projection learning models. 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008. 2008. pp. 2151-2155 (2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008).
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abstract = "This paper proposes a learning framework based on projection. Essentially, the learning framework exploits the advantages of linear learning paradigms for regression and classification applications. By incorporating appropriate nonlinear basis or embedding functions, the projection learning framework can be applied to learn arbitrary functions. Several preliminary case studies are provided to evident the behavior of a few specific projection models.",
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Toh, KA & Teoh, ABJ 2008, Projection learning models. in 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008., 4582899, 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008, pp. 2151-2155, 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008, Singapore, Singapore, 08/6/3. https://doi.org/10.1109/ICIEA.2008.4582899

Projection learning models. / Toh, Kar Ann; Teoh, Andrew Beng Jin.

2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008. 2008. p. 2151-2155 4582899 (2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper proposes a learning framework based on projection. Essentially, the learning framework exploits the advantages of linear learning paradigms for regression and classification applications. By incorporating appropriate nonlinear basis or embedding functions, the projection learning framework can be applied to learn arbitrary functions. Several preliminary case studies are provided to evident the behavior of a few specific projection models.

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Toh KA, Teoh ABJ. Projection learning models. In 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008. 2008. p. 2151-2155. 4582899. (2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008). https://doi.org/10.1109/ICIEA.2008.4582899