Simple power series for pattern classification

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

Abstract

We show in this paper, that a simple power series model with appropriate learning formulation, can be used for effective pattern classification. Essentially, an error counting cost function is adopted. Through a linear parametric power series model and a quadratic approximation to the error cost, a deterministic solution is derived. This solution is seen to relate to a class-specific setting of the more generic weighted least-squares. A tuning mechanism is thus incorporated for robust applications. Our empirical evaluations show effectiveness of the classifier.

Original languageEnglish
Title of host publicationICIEA 2007
Subtitle of host publication2007 Second IEEE Conference on Industrial Electronics and Applications
Pages641-646
Number of pages6
DOIs
Publication statusPublished - 2007 Oct 18
Event2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007 - Harbin, China
Duration: 2007 May 232007 May 25

Publication series

NameICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications

Other

Other2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007
CountryChina
CityHarbin
Period07/5/2307/5/25

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Toh, K. A. (2007). Simple power series for pattern classification. In ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications (pp. 641-646). [4318486] (ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications). https://doi.org/10.1109/ICIEA.2007.4318486