Journal of the Korean Data and Information Science Society
- 제18권3호
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- Pages.767-772
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- 2007
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- 1598-9402(pISSN)
Kernel Machine for Poisson Regression
- Hwang, Chang-Ha (Division of Information and Computer Science, Dankook University)
- 발행 : 2007.08.31
초록
A kernel machine is proposed as an estimating procedure for the linear and nonlinear Poisson regression, which is based on the penalized negative log-likelihood. The proposed kernel machine provides the estimate of the mean function of the response variable, where the canonical parameter is related to the input vector in a nonlinear form. The generalized cross validation(GCV) function of MSE-type is introduced to determine hyperparameters which affect the performance of the machine. Experimental results are then presented which indicate the performance of the proposed machine.
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