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 language | English |
|---|---|
| Title of host publication | ICIEA 2007 |
| Subtitle of host publication | 2007 Second IEEE Conference on Industrial Electronics and Applications |
| Pages | 641-646 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2007 Oct 18 |
| Event | 2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007 - Harbin, China Duration: 2007 May 23 → 2007 May 25 |
Publication series
| Name | ICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications |
|---|
Other
| Other | 2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007 |
|---|---|
| Country | China |
| City | Harbin |
| Period | 07/5/23 → 07/5/25 |
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