Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Jeong-Min Jeon"'
Publikováno v:
International Journal of Molecular Sciences, Vol 16, Iss 7, Pp 16695-16709 (2015)
Bradyrhizobium japonicum is a nitrogen-fixing symbiont of soybean. In previous studies, transcriptomic profiling of B. japonicum USDA110, grown under various environmental conditions, revealed the highly induced gene aceA, encoding isocitrate lyase (
Externí odkaz:
https://doaj.org/article/f9fcf90a0cd448c685368c634fd0caf0
Publikováno v:
Molecular Plant-Microbe Interactions, Vol 24, Iss 12, Pp 1472-1481 (2011)
Bradyrhizobium japonicum, a nitrogen-fixing bacterium in soil, establishes a symbiotic relationship with the leguminous soybean plant. Despite a mutualistic association between the two partners, the host plant produces an oxidative burst to protect i
Externí odkaz:
https://doaj.org/article/71fe4e0e44b84a1d8bcc04d72589d767
Publikováno v:
Journal of the American Statistical Association. :1-15
Publikováno v:
Bernoulli. 28
Autor:
Jang Dong-Heon, Jeong-Min Jeon
Publikováno v:
Journal of Industrial Economics and Business. 33:1201-1223
Autor:
Jeong Min Jeon, Ingrid Van Keilegom
Publikováno v:
Journal of Multivariate Analysis. 193:105125
Additive regression is studied in a very general setting where both the response and predictors are allowed to be non-Euclidean. The response takes values in a general separable Hilbert space, whereas the predictors take values in general semimetric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::404c3aa8201f80f40a8dd587850ec4bf
https://lirias.kuleuven.be/handle/20.500.12942/692639
https://lirias.kuleuven.be/handle/20.500.12942/692639
Publikováno v:
APNOMS
Multi-access edge computing (MEC) is witnessed to be an integral part of emerging augmented reality (AR) / virtual reality (VR) applications. These applications require contents from the cloud, thus suffer from high latency that is not desirable. To
Autor:
Jeong Min Jeon, Choong Seon Hong
Publikováno v:
ICOIN
With the recent development of the Internet of Things (IoT), applications are becoming smarter and connected devices are being used in all aspects. As the amount of collected data increases, machine learning (ML) technology has been applied and is be
Publikováno v:
Electronic Journal of Statistics
In this paper we consider a fully nonparametric additive regression model for responses and predictors of various natures. This includes the case of Hilbertian and incomplete (like censored or missing) responses, and continuous, nominal discrete and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::301fcbeee70839e208f55d46b38fd43c
https://lirias.kuleuven.be/handle/123456789/677899
https://lirias.kuleuven.be/handle/123456789/677899