Journal of the Korean Data and Information Science Society
- Volume 15 Issue 2
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- Pages.477-483
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- 2004
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- 1598-9402(pISSN)
Estimating Regression Function with $\varepsilon-Insensitive$ Supervised Learning Algorithm
- Hwang, Chang-Ha (Dept. of Statistical Information, Catholic University of Daegu)
- Published : 2004.05.31
Abstract
One of the major paradigms for supervised learning in neural network community is back-propagation learning. The standard implementations of back-propagation learning are optimal under the assumptions of identical and independent Gaussian noise. In this paper, for regression function estimation, we introduce
Keywords
- Back-propagation learning;
- $\varepsilon-insensitive$;
- neural network;
- regression;
- support vector machine