Kyungha Seok

发表

Study on semi-supervised local constant regression estimation

Kyungha Seok, 2012 .

Support vector quantile regression using asymmetric e-insensitive loss function

Changha Hwang, J. Shim, Kyungha Seok, 2010, 2010 2nd International Conference on Education Technology and Computer.

Monotone support vector quantile regression

Changha Hwang, J. Shim, Kyungha Seok, 2017 .

Semi-supervised regression based on support vector machine

Kyungha Seok, 2014 .

Support vector expectile regression using IRWLS procedure

J. Shim, Kyungha Seok, K. Choi, 2014 .

GACV for partially linear support vector regression

J. Shim, Kyungha Seok, 2013 .

Semiparametric kernel logistic regression with longitudinal data

J. Shim, Kyungha Seok, 2012 .

Doubly penalized kernel method for heteroscedastic autoregressive datay

J. Shim, Kyungha Seok, Daehyeon Cho, 2010 .

Variance function estimation with LS-SVM for replicated data

J. Shim, Kyungha Seok, Hyejung Park, 2009 .

Semi-supervised classification with LS-SVM formulation

Kyungha Seok, 2010 .

SVQR with asymmetric quadratic loss function

J. Shim, Kyungha Seok, Mal-Suk Kim, 2015 .

A transductive least squares support vector machine with the difference convex algorithm

J. Shim, Kyungha Seok, 2014 .

Support vector quantile regression with varying coefficients

Changha Hwang, J. Shim, Kyungha Seok, 2016, Computational Statistics.

Composite support vector quantile regression estimation

Changha Hwang, J. Shim, Kyungha Seok, 2014, Computational Statistics.

Some Comments on Error Correcting Output Codes

Kyung Ha Seok, Daehyeon Cho, Kyungha Seok, 2006, FSKD.

Study on semi-supervised local constant regression

Kyungha Seok, Kyungha Seok, 2012 .

Semi-supervised learning using similarity and dissimilarity

Kyungha Seok, 2011 .

Estimation and variable selection in censored regression model with smoothly clipped absolute deviation penalty

J. Shim, Kyungha Seok, Jong-Sig Bae, 2016 .

Semiparametric mixed-effect least squares support vector machine for analyzing pharmacokinetic and pharmacodynamic data

Jooyong Shim, Changha Hwang, Kyung Ha Seok, 2011, Neurocomputing.

Support vector interval regression machine for crisp input and output data

Dug Hun Hong, Changha Hwang, Kyung Ha Seok, 2006, Fuzzy Sets Syst..

Semi-Supervised Learning Using Kernel Estimation

Kyungha Seok, 2007 .

On Approximate Prediction Intervals for Support Vector Machine Regression

Changha Hwang, Daehyeon Cho, Kyung-Ha Seok, 2002 .

A Study on Support Vectors of Least Squares Support Vector Machine

Kyung-Ha Seok, Daehyun Cho, Kyungha Seok, 2003 .

Confidence Interval Estimation Using SV in LS-SVM

Kyungha Seok, 2003 .

Study on the ensemble methods with kernel ridge regression

Daehyeon Cho, Kyungha Seok, Daehyeon Cho, 2012 .

Non-crossing quantile regression via doubly penalized kernel machine

Changha Hwang, Kyung Ha Seok, Joo-Yong Shim, 2009, Comput. Stat..