1 |
S. Weisberg, Applied Linear Regression, 3rd Edition, Wiley, New York, USA, 2003
|
2 |
B. Hyeon, K. Seo, Y. Lee, "Evolutionary Nonlinear Regression Based Compensation Technique for Shortrange Prediction of Wind Speed using Automatic Weather Station", The Transactions of the Korean Institute of Electrical Engineers, vol. 64, No.1, pp. 107-112, 2015
DOI
|
3 |
J, Yi, "A Study on an Estimation of Probable Flood Flow using Ridge Regression", Journal of Korean Society of Civil Engineers, vol. 20, No.1-B, pp.35-43, 2000
|
4 |
C. Park, "Simple Principal component analysis using Lasso", Journal of the Korean data & Information Science Society, vol.24, No.3, pp.533-541, 2013
DOI
|
5 |
D. Kim, and K. Seo, "Comparison of Linear and Nonlinear Regressions and Elements Analysis for Wind Speed Prediction", Journal of Korean Institute of Intelligent Systems, Vol. 25, No. 5, pp. 477-482, 2015
DOI
|
6 |
V. Vapnik, Statistical Learning Theory, Wiley, New York, USA, 1998
|
7 |
V. Vapnik, Three remarks on the support vector method of function estimation, Advances in kernel methods, pp. 25-41, MIT Press, Cambridge, MA, USA, 1999
|
8 |
J. Kim, S. Oh, K. Seo, "Comparison of SVR Based Linear and Nonlinear Regressions for Multiple Elements Model", Proceedings of KIIS Autumn Conference 2015 Vol. 25, No. 2., pp. 69-70, 2015. 10.
|
9 |
H. R. Glahn, D. A. Lowry, "The use of model output statistics (MOS) in objective weather forecasting", J. Appl. Meteor., 11, pp. 1203-1211, 1972
DOI
|
10 |
Korea Meteorological Administration, http://www.kma.go.kr.
|
11 |
T. Joachims, SVM-light, svmlight.joachims.org
|