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Showing results 36221 to 36240 of 278078
| 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 |
| Bayesian modelling of Thomson scattering and multichannel interferometer diagnostics using Gaussian processes Kwak, Sehyun; Svensson, Jakob; Bozhenkov, Sergey A; Flanagan, Joanne; Kempenaars, Mark; Boboc, Alexandru; Ghim, Young-chul, NUCLEAR FUSION, v.60, no.4, 2020-04 |
| 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 reinforcement learning = 베이지안 다중환경 강화학습link Lim, Soohyun; Kim, Kee-Eung; et al, 한국과학기술원, 2019 |
| 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 multi-task transfer learning for soft prompt tuning = 소프트 프롬프트 튜닝을 위한 베이지안 멀티태스크 전이학습link Lee, Haeju; 이해주; et al, 한국과학기술원, 2023 |
| Bayesian network for image classification = 이미지 분류를 위한 베이지안 네트워크link Sun, Mingyang; MINGYANG; et al, 한국과학기술원, 2015 |
| 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 character components and their relationships for on-line handwriting recognition = 온라인 필기 인식을 위한 문자의 구성요소와 상호관계의 베이지안망 모델링link Cho, Sung-Jung; 조성정; et al, 한국과학기술원, 2003 |
| 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, PATTERN RECOGNITION, v.37, no.2, pp.253 - 264, 2004-02 |
| 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 |
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