ScholarWorks@Korea University: Search

Results 1-10 of 19 (Search time: 0.006 seconds).

A Weighted Learning Approach for Sufficient Dimension Reduction in Binary Classification

ConferenceIssue Date2019CitationThe 12th International Conference of the ERCIM WG on Computational and Methodological StatisticsPublisherthe ERCIM Working Group on Computational and Methodological StatisticsPlaceUK; University of London

A Weighted Learning Approach for Sufficient DimensionReduction in Binary Classification

Seung Jun Shin

ConferenceIssue Date2019Citation2019 IMS-ChinaPublisherIMS-ChinaPlaceCC; Dalian, China

ROC-optimizing Support Vector Machines

Seung Jun Shin

ConferenceIssue Date2019CitationThe 3rd International Conference on Econometrics and StatisticsPublisherWorking Group on Computational and Methodological StatisticsPlaceCH; National Chung Hsing University

Bayesian semiparametric estimation of cancer-specific age-at-onset penetrance with application to Li-Fraumeni Syndrome

Seung Jun Shin

ConferenceIssue Date2018Citation27th South Taiwan Statistics ConferencePublisherSouth Taiwan Statistics ConferencePlaceCH; National Cheng Kung University

A weighted learning approach for sufficient dimension reduction in binary classification

Seung Jun Shin

ConferenceIssue Date2018CitationEcosta 2018PublisherEcostaPlaceCC; 홍콩

A weighted learning approach for sufficient dimension reduction in binary classification

Seung Jun Shin

ConferenceIssue Date2018Citation한국통계학회 춘계 학술발표회Publisher한국통계학회PlaceKO; 부산대학교

Feature selection in AUC-optimizing SVM with application to lung adenocarcinoma

Seung Jun Shin

ConferenceIssue Date2018Citation한국보건정보통계학회 춘계학술발표회Publisher한국보건정보통계학회PlaceKO; 서울대학교 의과대학

Adaptive ridge procedure for L0-penalized weighted support vector machines

Seung Jun Shin

ConferenceIssue Date2017Citation한국데이터정보과학회 추계 학술발표대회Publisher한국데이터정보과학회PlaceKO; 경북대학교

Principal Weighted Support Vector Machines for Sufficient Dimension Reduction

Seung Jun Shin

ConferenceIssue Date2017CitationThe 26th South Tiwan Statistics ConferencePublisherChinese institute of probability and statisticsPlaceCH; Tiwan

Sufficient Dimension Reduction: Partitioning and Synthesizing Regression Information

Seung Jun Shin

ConferenceIssue Date2017Citation한국통계학회 2017년 춘계학술대회Publisher한국통계학회PlaceKO; 숙명여대

1 2 next

Discover

RSS_1.0 RSS_2.0 ATOM_1.0

145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Discover

Subject

Date Issued

Type

Journal

BROWSE