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| Bayesian inference for edge electron density profiles from the JET Li-BES data Kwak, Sehyun; Svensson, J; Brix, M; Ghim, Young chul; Contributors, JET, Deutsche Physikalische Gesellschaft Spring Meeting, Deutsche Physikalische Gesellschaft, 2016-02-29 |
| Bayesian Inference for the Quantitative Analysis of Nonuniformly Distributed Uranium Radioactivity in a Waste Drum Ryu, Jichang; Hong, Junghwan; Park, Jungsuk; Cho, Gyuseong, IEEE TRANSACTIONS ON NUCLEAR SCIENCE, v.70, no.7, pp.1477 - 1489, 2023-07 |
Bayesian inference of axisymmetric plasma equilibrium Kwak, Sehyun; Svensson, J.; Ford, O.; Appel, L.; Ghim, Young-chul; JET Contributors, J. E. T. Contributors, NUCLEAR FUSION, v.62, no.12, 2022-12 |
| Bayesian inference of distributed time delay in transcriptional and translational regulation Choi, Boseung; Cheng, Yu-Yu; Cinar, Selahattin; Ott, William; Bennett, Matthew R.; Josic, Kresimir; Kim, Jae Kyoung, BIOINFORMATICS, v.36, no.2, pp.586 - 593, 2020-01 |
| Bayesian inference of electron temperature and density profiles from JET high resolution Thomson scattering and interferometer data Kwak, Sehyun; Svensson, J.; Bozhenkov, J.; Flanagan, J.; Kempenaars, M.; Ghim, Young-chul, Deutsche Physikalische Gesellschaft Spring Meeting, German Physical Society, 2017-03-13 |
| Bayesian Inference of National Rankings in Incomplete Competition Netgworks Park, Juyong, NetSci 2013, International School and Conference of Network Science, 2013-06-07 |
| Bayesian Inference of Natural Rankings in Incomplete Competition Networks Park, Juyong; Yook, Soon-Hyung, SCIENTIFIC REPORTS, v.4, 2014-08 |
| Bayesian inference of the flow resistivity of a sound absorber and the room's influence on the Sabine absorption coefficients ( L) (a)) Jeong, Cheol-Ho; Choi, Sanghyeon; Lee, Ik Jin, JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, v.141, no.3, pp.1711 - 1714, 2017-03 |
| Bayesian inference on KSTAR FRLPA data to obtain radial profile of edge electron density and temperature Kwon, Daeho; Kim, Jaewook; Bak, J.G.; Kim, H.S.; Ghim, Young-chul, KSTAR Conference 2017, National Fusion Research Institute, 2017-01-19 |
| Bayesian inference on random simple graphs with power law degree distributions Lee, Juho; Heakulani, Creighton; Ghahramani, Z; James, Lancelot F.; Choi, Seungjin, International Conference on Machine Learning(ICML 2017), International Machine Learning Society (IMLS), 2017-08-08 |
| Bayesian interpretation of adaptive fuzzy neural network model Lee S.W.; Kim D.-J.; Kim Y.S.; Bien, Zeung nam, IEEE International Conference on Fuzzy Systems, 2006, pp.2178 - 2183, 2006-07-16 |
| Bayesian interpretation of adaptive fuzzy neural network model Lee, Sang Wan; Kim, Dae-Jin; Kim, Yong Soo; Bien, Zeungnam, 2006 IEEE International Conference on Fuzzy Systems, pp.2178 - 2183, Institute of Electrical and Electronics Engineers Inc., 2006-07 |
| Bayesian interpretation of Kalman filtering = 칼만 필터링의 베이지안 해석link Yoon, Wan-Sang; 윤완상; et al, 한국과학기술원, 2013 |
| Bayesian latent factor regression for multivariate functional data with variable selection Noh, Heesang; Choi, Taeryon; Park, Jinsu; Chung, Yeonseung, JOURNAL OF THE KOREAN STATISTICAL SOCIETY, v.49, pp.901 - 923, 2020-09 |
| Bayesian latent factor regression for multivariate functional data with variable selection = 다변량 함수형 자료에 대한 베이지안 잠재요인 회귀 및 변수 선택 모형link Noh, Heesang; Chung, Yeonseung; et al, 한국과학기술원, 2019 |
| Bayesian learning and planning methods for partially observable dynamical systems = 부분 관측 가능 동적 시스템을 위한 베이지안 학습 및 계획 기법link Park, Soon-Seo; Choi, Han-Lim; et al, 한국과학기술원, 2020 |
| Bayesian learning and unlearning in distributed wireless network = 무선 분산 네트워크에서 베이지안 학습 및 비학습link Gong, Jinu; Kang, Joonhyuk; et al, 한국과학기술원, 2023 |
| Bayesian magnetic signal inference from KSTAR for neural network accelerated equilibria reconstruction model Joung, Semin; Kwak, Sehyun; Ghim, Young-chul, KSTAR Conference 2018, National Fusion Research Institute, 2018-02-22 |
| Bayesian mesh optimization for graph neural networks to enhance engineering performance prediction = 공학적 성능 예측 향상을 위한 그래프 신경망용 베이지안 메쉬 최적화link Park, Jangseop; 박장섭; et al, 한국과학기술원, 2023 |
| Bayesian mixture model for estimating travel time distribution based on low frequency probe vehicle data = 표본 프로브 차량 기반 베이즈 혼합 통행시간 분포 추정link Kim, Hyungjoo; Jang, Kitae; et al, 한국과학기술원, 2019 |
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