Ja-Yong Koo

According to our database, Ja-Yong Koo authored at least 30 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Locally penalized single-index model using B-splines and spherical coordinates.

Jae-Hwan Jhong, Jae-Young Kim, Jae-Deok Lee, Ja-Yong Koo

Commun. Stat. Simul. Comput., January, 2024

2023

Minimax Density Estimation Under Radial Symmetry.

Kwan-Young Bak, Ja-Yong Koo

IEEE Access, 2023

2022

Sparse neural network regression with variable selection.

Jae-Kyung Shin, Kwan-Young Bak, Ja-Yong Koo

Comput. Intell., December, 2022

Penalized additive neural network regression.

Jae-Kyung Shin, Kwan-Young Bak, Ja-Yong Koo

Intell. Data Anal., 2022

2021

Penalized I-spline monotone regression estimation.

Junsouk Choi, Jungjun Lee, Jae-Hwan Jhong, Ja-Yong Koo

Commun. Stat. Simul. Comput., 2021

Penalized logspline density estimation using total variation penalty.

Kwan-Young Bak, Jae-Hwan Jhong, Jung-Jun Lee, Jae-Kyung Shin, Ja-Yong Koo

Comput. Stat. Data Anal., 2021

2020

Penalized log-density estimation using Legendre polynomials.

Jung-Jun Lee, Jae-Hwan Jhong, Young-Rae Cho, Sunghwan Kim, Ja-Yong Koo

Commun. Stat. Simul. Comput., 2020

2019

Simultaneous estimation of quantile regression functions using B-splines and total variation penalty.

Jae-Hwan Jhong, Ja-Yong Koo

Comput. Stat. Data Anal., 2019

2018

Variable Selection and Joint Estimation of Mean and Covariance Models with an Application to eQTL Data.

Jung-Jun Lee, Sunghwan Kim, Jae-Hwan Jhong, Ja-Yong Koo

Comput. Math. Methods Medicine, 2018

2017

Identifying novel NF-kB-regulated immune genes in the human genome using a Discrete Kernel Structured Support Vector Machine.

Insuk Sohn, Sujong Kim, Jae Won Lee, Ja-Yong Koo, Junsu Ko

Model. Assist. Stat. Appl., 2017

Node-Structured Integrative Gaussian Graphical Model Guided by Pathway Information.

Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo, ByungYong Lee, Sungwon Han

Comput. Math. Methods Medicine, 2017

Erratum to: Meta-analytic support vector machine for integrating multiple omics data.

Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo

BioData Min., 2017

Meta-analytic support vector machine for integrating multiple omics data.

Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo

BioData Min., 2017

2014

Variable Selection for Naive Bayes Semisupervised Learning.

Byoung-Jeong Choi, Kwang-Rae Kim, Kyu-Dong Cho, Changyi Park, Ja-Yong Koo

Commun. Stat. Simul. Comput., 2014

2013

Frenet-Serret and the Estimation of Curvature and Torsion.

Kwang-Rae Kim, Peter T. Kim, Ja-Yong Koo, Michael R. Pierrynowski

IEEE J. Sel. Top. Signal Process., 2013

2011

Feature selection in the Laplacian support vector machine.

Sangjun Lee, Changyi Park, Ja-Yong Koo

Comput. Stat. Data Anal., 2011

2010

Support Vector Machine Using <i>k</i>-Spatial Medians Clustering and Recovery Process.

Sungwan Bang, Ja-Yong Koo, Myoungshic Jhun

Commun. Stat. Simul. Comput., 2010

2009

Weyl eigenvalue asymptotics and sharp adaptation on vector bundles.

Peter T. Kim, Ja-Yong Koo, Zhi-Ming Luo

J. Multivar. Anal., 2009

2008

Asymptotic Minimax Bounds for Stochastic Deconvolution Over Groups.

Ja-Yong Koo, Peter T. Kim

IEEE Trans. Inf. Theory, 2008

A Bahadur Representation of the Linear Support Vector Machine.

Ja-Yong Koo, Yoonkyung Lee, Yuwon Kim, Changyi Park

J. Mach. Learn. Res., 2008

Classification of gene functions using support vector machine for time-course gene expression data.

Changyi Park, Ja-Yong Koo, Sujong Kim, Insuk Sohn, Jae Won Lee

Comput. Stat. Data Anal., 2008

Stepwise feature selection using generalized logistic loss.

Changyi Park, Ja-Yong Koo, Peter T. Kim, Jae Won Lee

Comput. Stat. Data Anal., 2008

2007

On the Use of Adaptive Nearest Neighbors for Missing Value Imputation.

Myoungshic Jhun, Hyeong Chul Jeong, Ja-Yong Koo

Commun. Stat. Simul. Comput., 2007

2006

Erratum to "Inverse boosting for monotone regression functions" [Computational Statistics and Data Analysis 49 (2005) 757-770].

Yuwon Kim, Ja-Yong Koo

Comput. Stat. Data Anal., 2006

Structured polychotomous machine diagnosis of multiple cancer types using gene expression.

Ja-Yong Koo, Insuk Sohn, Sujong Kim, Jae Won Lee

Bioinform., 2006

2005

Inverse boosting for monotone regression functions.

Yuwon Kim, Ja-Yong Koo

Comput. Stat. Data Anal., 2005

2004

Rotational Matching Problems.

Gregory S. Chirikjian, Peter T. Kim, Ja-Yong Koo, Christine H. Lee

Int. J. Comput. Intell. Appl., 2004

2002

Wavelet deconvolution.

Jianqing Fan, Ja-Yong Koo

IEEE Trans. Inf. Theory, 2002

Poisson intensity estimation for tomographic data using a wavelet shrinkage approach.

L. Cavalier, Ja-Yong Koo

IEEE Trans. Inf. Theory, 2002

2001

Image Reconstruction using the Wavelet Transform for Positron Emission Tomography.

Yong Choi, Ja-Yong Koo, Nam-Yong Lee

IEEE Trans. Medical Imaging, 2001