Zobrazeno 1 - 10 of 30 pro vyhledávání: '"Min Hwan Oh"'
1
Akademický článek
Struvite Crystallization of Anaerobic Digestive Fluid of Swine Manure Containing Highly Concentrated Nitrogen
Autor: Eun Young Lee, Min Hwan Oh, Seung-Hak Yang, Tae Han Yoon
Publikováno v: Asian-Australasian Journal of Animal Sciences, Vol 28, Iss 7, Pp 1053-1060 (2015)
In this study, the optimal operation factors for struvite crystallization for removing and recovering nitrogen and phosphorus from anaerobic digestive fluid of swine manure containing highly concentrated nitrogen was determined. Every experiment for
Externí odkaz: https://doaj.org/article/21686e52622c4fccaaa814371f639e65
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2
Akademický článek
Personalized Federated Learning With Server-Side Information
Autor: Jaehun Song, Min-Hwan Oh, Hyung-Sin Kim
Publikováno v: IEEE Access, Vol 10, Pp 120245-120255 (2022)
Personalized Federated Learning (FL) is an emerging research field in FL that learns an easily adaptable global model in the presence of data heterogeneity among clients. However, one of the main challenges for personalized FL is the heavy reliance o
Externí odkaz: https://doaj.org/article/bf060f18188647a78aa0bf9e9bc6b3b4
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4
Akademický článek
Corrections to 'Learning Graph Topological Features via GAN'
Autor: Weiyi Liu, Pin-Yu Chen, Fucai Yu, Toyotaro Suzumura, Guangmin Hu, Hal Cooper, Min-Hwan Oh, Sailung Yeung
Publikováno v: IEEE Access, Vol 7, Pp 133600-133601 (2019)
The authors have inadvertently left out three coauthors from the above paper [1]. The names of the three authors are Hal Cooper, Min-Hwan Oh, and Sailung Yeung.
Externí odkaz: https://doaj.org/article/e4ae8d5f82134dda9c8e6c4f7a4558e8
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6
Automatic event detection in basketball using HMM with energy based defensive assignment
Autor: Garud Iyengar, Suraj Keshri, Sheng Zhang, Min-hwan Oh
Publikováno v: Journal of Quantitative Analysis in Sports. 15:141-153
We propose a unsupervised learning framework for automatically labeling events in a basketball game. Our framework uses the the optical player tracking data in the NBA. We first learn the time series of defensive assignments using a novel player and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::57463e1b0efac291e6a5dad58c8be3c6
https://doi.org/10.1515/jqas-2017-0126
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7
Multinomial Logit Contextual Bandits: Provable Optimality and Practicality
Autor: Min-hwan Oh, Garud Iyengar
We consider a sequential assortment selection problem where the user choice is given by a multinomial logit (MNL) choice model whose parameters are unknown. In each period, the learning agent observes a $d$-dimensional contextual information about th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::342882d3260ed12cae2678df240e6663
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10
Sequential Anomaly Detection using Inverse Reinforcement Learning
Autor: Min-hwan Oh, Garud Iyengar
Publikováno v: KDD
One of the most interesting application scenarios in anomaly detection is when sequential data are targeted. For example, in a safety-critical environment, it is crucial to have an automatic detection system to screen the streaming data gathered by m
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72f49a4cf347091bf6cb5a01e6467f1e
https://doi.org/10.1145/3292500.3330932
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