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Showing results 15121 to 15140 of 109574
| 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 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 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 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 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 |
| Bayesian multi-object tracking using motion context from multiple objects Yoon, Ju Hong; Yang, Ming-Hsuan; Lim, Jongwoo; Yoon, Kuk-Jin, 2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015, pp.33 - 40, Institute of Electrical and Electronics Engineers Inc., 2015-01-08 |
| Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning Lee, Haeju; Jeong, Minchan; Yun, Seyoung; Kim, Kee-Eung, The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 Association for Computational Linguistics, 2023-12-08 |
| Bayesian network inference to estimate the functional connectivity of cultured neuronal networks Jung, S; Lee, Doheon; NAM, YOONKEY, 3rd International IEEE EMBS Conference on Neural Engineering, 2007, pp.688 - 691, IEEE Engineering in Medicine and Biology Society (EMBS), 2007-05-02 |
| Bayesian Network Modeling of Hangul Characters for On-line Handwriting Recognition Cho, SJ; Kim, JinHyung, 7th International Conference on Document Analysis and Recognition, Edinburgh, Scotland 2003, pp.0, IEEE, 2003-08 |
| Bayesian Network Modeling of Strokes and their Relationships for On-line Handwriting Recognition Cho, SJ; Kim, JinHyung, 6th International Conference on Document Analysis and Recognition, Seattle, WA 2001, pp.86 - 90, 6th International Conference on Document Analysis and Recognition, 2001-09 |
| Bayesian network-based non-parametric compact genetic algorithm Lee, Joon-Yong; Im, Sung Min; Lee, Ju-Jang, 6th IEEE International Conference on Industrial Informatics, INDIN 2008, pp.359 - 364, IEEE, 2008-07-13 |
| Bayesian Neural Network based Statistical Model Calibration Method 조휘상; 이익진, 대한기계학회 2022년 학술대회, 대한기계학회, 2022-11-09 |
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