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Changha Hwang :
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Dug Hun Hong , Changha Hwang Fuzzy Nonlinear Regression Model Based on LS-SVM in Feature Space. [Citation Graph (0, 0)][DBLP ] FSKD, 2006, pp:208-216 [Conf ] Changha Hwang , Dug Hun Hong , Eunyoung Na , Hyejung Park , Joo Yong Shim Interval Regression Analysis Using Support Vector Machine and Quantile Regression. [Citation Graph (0, 0)][DBLP ] FSKD (1), 2005, pp:100-109 [Conf ] Changha Hwang , David Chiu , Insuk Sohn Exon Structure Analysis via PCA and ICA of Short-Time Fourier Transform. [Citation Graph (0, 0)][DBLP ] ICNC (2), 2005, pp:306-315 [Conf ] Changha Hwang , Joo Yong Shim A Simple Quantile Regression via Support Vector Machine. [Citation Graph (0, 0)][DBLP ] ICNC (1), 2005, pp:512-520 [Conf ] Changha Hwang , Kyung Ha Seok , Daehyeon Cho A Prediction Interval Estimation Method for KMSE. [Citation Graph (0, 0)][DBLP ] ICNC (1), 2005, pp:536-545 [Conf ] Joo Yong Shim , Changha Hwang Doubly Regularized Kernel Regression with Heteroscedastic Censored Data. [Citation Graph (0, 0)][DBLP ] ICNC (1), 2005, pp:521-527 [Conf ] Joo Yong Shim , Changha Hwang , Sungkyun Nau Robust LS-SVM Regression Using Fuzzy C-Means Clustering. [Citation Graph (0, 0)][DBLP ] ICNC (1), 2006, pp:157-166 [Conf ] Byung-Joo Kim , Joo Yong Shim , Changha Hwang , Il Kon Kim , Joon Hyun Song Incremental Feature Extraction Based on Empirical Kernel Map. [Citation Graph (0, 0)][DBLP ] ISMIS, 2003, pp:440-444 [Conf ] Dug Hun Hong , Changha Hwang Extended Fuzzy Regression Models. [Citation Graph (0, 0)][DBLP ] JCIS, 2002, pp:304-308 [Conf ] Tae Yoon Kim , Kyong Joo Oh , Insuk Sohn , Changha Hwang Usefulness of artificial neural networks for early warning system of economic crisis. [Citation Graph (0, 0)][DBLP ] Expert Syst. Appl., 2004, v:26, n:4, pp:583-590 [Journal ] Dug Hun Hong , Changha Hwang Support vector fuzzy regression machines. [Citation Graph (0, 0)][DBLP ] Fuzzy Sets and Systems, 2003, v:138, n:2, pp:271-281 [Journal ] Dug Hun Hong , Changha Hwang , Chulhwan Ahn Ridge estimation for regression models with crisp inputs and Gaussian fuzzy output. [Citation Graph (0, 0)][DBLP ] Fuzzy Sets and Systems, 2004, v:142, n:2, pp:307-319 [Journal ] Changha Hwang , Dug Hun Hong , Kyung Ha Seok Support vector interval regression machine for crisp input and output data. [Citation Graph (0, 0)][DBLP ] Fuzzy Sets and Systems, 2006, v:157, n:8, pp:1114-1125 [Journal ] Dug Hun Hong , Changha Hwang Ridge Regression Procedures For Fuzzy Models Using Triangular Fuzzy Numbers. [Citation Graph (0, 0)][DBLP ] International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004, v:12, n:2, pp:145-160 [Journal ] Changha Hwang , Dug Hun Hong Analyzing the Nonlinear Time Series of Turbulent Flows with Kernel Interval Regression Machine. [Citation Graph (0, 0)][DBLP ] International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2005, v:13, n:4, pp:365-380 [Journal ] Dug Hun Hong , Changha Hwang Extended fuzzy regression models using regularization method. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 2004, v:164, n:1-4, pp:31-46 [Journal ] Dug Hun Hong , Changha Hwang Interval regression analysis using quadratic loss support vector machine. [Citation Graph (0, 0)][DBLP ] IEEE T. Fuzzy Systems, 2005, v:13, n:2, pp:229-237 [Journal ] Dug Hun Hong , Changha Hwang , Joo Yong Shim , Kyung Ha Seok Locally Weighted LS-SVM for Fuzzy Nonlinear Regression with Fuzzy Input-Output. [Citation Graph (0, 0)][DBLP ] CIS, 2006, pp:317-325 [Conf ] Dug Hun Hong , Changha Hwang , Kyung Tae Kim T-sum of sigmoid-shaped fuzzy intervals. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 2007, v:177, n:18, pp:3831-3839 [Journal ] Search in 0.003secs, Finished in 0.004secs