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Showing results 36421 to 36440 of 279600
| 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 |
| Bayesian mixture of gaussian processes for data association problem Jeon, Younghwan; Hwang, Ganguk, PATTERN RECOGNITION, v.127, 2022-07 |
| Bayesian modeling of Lithium BES data at JET 곽세현; J. Svensson; M. Brix; M. S. Bawa'aneh; 김영철; JET Contributors, Korean Physical Society Spring Meeting, Korean Physical Society, 2015-04-23 |
| Bayesian modeling of multiple diagnostics at Wendelstein 7-X using Minerva framework Kwak, Sehyun; Svensson, J.; Bozhenkov, S.; Mora, H.; Hofel, U.; Pavone, A.; Krychowiak, M.; et al, 59th Annual Meeting of the APS Division of Plasma Physics, American Physical Society, 2017-10-24 |
| Bayesian modelling inference of multiple diagnostic systems at Wendelstein 7-X in the Minerva framework Kwak, Sehyun; Svensson, J.; Bozhenkov. S.; Trimino Mora, H.; Hofel, U.; Pavone, A.; Krychowiak, M.; et al, KSTAR Conference 2018, National Fusion Research Institute, 2018-02-22 |
| Bayesian modelling of JET high resolution Thomson scattering system using the Minerva framework Kwas, Sehyun; Svensson, J; Bozhenkov, S; Flanagan, J; Kempenaars, M; Ghim, Young-chul, 58th Annual Meeting of the APS Division of Plasma Physics, American Physical Society, 2016-11 |
| Bayesian modelling of spectrum data: A way to remove beam modulations Kwak, Sehyun; Svensson, J; Brix, M; Ghim, Young chul; Contributors, JET, KSTAR Conference 2016, National Fusion Research Institute, 2016-02-24 |
| Bayesian modelling of the emission spectrum of the Joint European Torus Lithium Beam Emission Spectroscopy system Kwak, Sehyun; Svensson, Jakob; Brix, Mathias; Ghim, Young-chul; JET Contibutors, REVIEW OF SCIENTIFIC INSTRUMENTS, v.87, no.2, 2016-02 |
| Bayesian modelling of the JET Li-BES system Gwak, Jae Hyun; Svensson, J; Brix, M; Ghim, Young-chul; JET Contributors, 57th Annual Meeting of the APS Division of Plasma Physics, American Physical Society, 2015-11-16 |
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