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pro vyhledávání: '"Wonjung, Lee"'
Autor:
Wonjung Lee
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-22 (2024)
Abstract A prevalent problem in statistical signal processing, applied statistics, and time series analysis arises from the attempt to identify the hidden state of Markov process based on a set of available noisy observations. In the context of seque
Externí odkaz:
https://doaj.org/article/bd69462dcfed4d859520c81b4aaa158f
Publikováno v:
Inorganic Chemistry. 62:2326-2333
Publikováno v:
Bulletin of the Korean Chemical Society. 43:1236-1239
Autor:
Wonjung, Lee
Publikováno v:
キリスト教社会問題研究 = The Study of Christianity and Social Problems. 70:63-90
本稿は、竹中勝男が社会事業と関連して日本のキリスト教をどのように理解したかを考察した。竹中によると、近代化が進んでいる明治初期と中期の日本社会において、キリスト教は、
Autor:
Wonjung Lee
Publikováno v:
Theological Studies in Japan. 60:154-159
Reconsidering 'Christianity in Japan' of Tadakazu Uwoki : an attempt of indigenous theology dwindled
Autor:
Wonjung, Lee
Publikováno v:
キリスト教社会問題研究 = The Study of Christianity and Social Problems. 68:91-115
魚木忠一は、キリスト教と日本の宗教的伝統を国家主義的に混淆した「日本的キリスト教」を提唱したものとしてしばしば批判の対象になってきた。しかし、彼が主張した「日本基督教
Autor:
Wonjung, Lee
Publikováno v:
同志社談叢 = Doshisha danso. 39:37-61
論叢(Article)
Autor:
Wonjung Lee
Publikováno v:
Physical review. E. 103(5-1)
This paper is concerned with the reduced-order modeling of the strongly nonlinear wave turbulence system. The motivation for such an attempt comes from the utility of the probabilistic coarse-grained model in facilitating the theoretical and numerica
Autor:
Samy M. Shaban, Eunhee Hwang, Byeong-Seok Moon, Dong Hyun Lee, Wonjung Lee, Dong-Hwan Kim, Jayoung Kim, Do-Gi Pyun
Publikováno v:
The Analyst. 146(5)
Polydiacetylene (PDA), a conjugated polymer, has attracted attention for realization of a label-free real-time colorimetric biosensor because it exhibits large and rapid colorimetric responses upon the binding of biomolecules. This is due to the conf
Publikováno v:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track ISBN: 9783030676667
ECML/PKDD (4)
ECML/PKDD (4)
Learning from noisy labels is getting trendy in the era of big data. However, in crowdsourcing practice, it is still a challenging task to extract ground truth labels from noisy labels obtained from crowds. In this paper, we propose a latent variable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ed67d7e0fd7e1f2e5dc3e1959805496
https://doi.org/10.1007/978-3-030-67667-4_33
https://doi.org/10.1007/978-3-030-67667-4_33