Výsledky vyhledávání - "Jeong Min Jeon"

Akademický článek

Whole-Genome Expression Profiling of Bradyrhizobium japonicum in Response to Hydrogen Peroxide

Autor: Jeong-Min Jeon, Hae-In Lee, Andrew J. Donati, Jae-Seong So, David W. Emerich, Woo-Suk Chang

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

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ADDITIVE REGRESSION FOR NON-EUCLIDEAN RESPONSES AND PREDICTORS

Autor: Ingrid Van Keilegom, Byeong U. Park, Jeong Min Jeon

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

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Decentralized Collaborative Caching-based Virtual Reality for 5G and Beyond

Autor: Latif U. Khan, Jeong Min Jeon, Choong Seon Hong, Tri Nguyen Dang, Aunas Manzoor

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b61f111175e24c348441be6ce4bf73e8
https://doi.org/10.23919/apnoms52696.2021.9562648

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Scalable Private P2P network for distributed and Hierarchical Machine Learning in VANETs

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8d990357ca780e57df94ea6dbef63c73
https://doi.org/10.1109/icoin50884.2021.9333988

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Additive regression for predictors of various natures and possibly incomplete Hilbertian responses

Autor: Jeong Min Jeon, Ingrid Van Keilegom, Byeong U. Park

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

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Additive regression with Hilbertian responses

Autor: Byeong U. Park, Jeong Min Jeon

Publikováno v: Ann. Statist. 48, no. 5 (2020), 2671-2697

This paper develops a foundation of methodology and theory for the estimation of structured nonparametric regression models with Hilbertian responses. Our method and theory are focused on the additive model, while the main ideas may be adapted to oth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::138889e4e9bb2f5a4d13bf4bbd8c89fc
https://doi.org/10.1214/19-aos1902

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