Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Techniques for f-divergence Estimation and their Applications to Machine Learning

Full metadata record
DC Field Value Language
dc.contributor.author노영균-
dc.date.accessioned2023-11-14T09:13:30Z-
dc.date.available2023-11-14T09:13:30Z-
dc.date.issued2023-03-06-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/192525-
dc.titleTechniques for f-divergence Estimation and their Applications to Machine Learning-
dc.typeConference-
dc.citation.conferenceName국가수리과학연구소 산업수학혁신센터-
dc.citation.conferencePlace국가수리과학연구소 산업수학혁신센터-
Files in This Item
There are no files associated with this item.
Appears in
Collections
서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Noh, Yung Kyun photo

Noh, Yung Kyun
COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
Read more

Altmetrics

Total Views & Downloads

BROWSE