المؤلفون: Mell, Stephen, Brown, Olivia, Goodwin, Justin, Son, Sung-Hyun

مصطلحات موضوعية: Computer Science - Machine Learning, Statistics - Machine Learning

الوصول الحر: http://arxiv.org/abs/2001.11062Test

المؤلفون: Killian, Taylor, Goodwin, Justin, Brown, Olivia, Son, Sung-Hyun

مصطلحات موضوعية: Statistics - Machine Learning, Computer Science - Machine Learning

الوصول الحر: http://arxiv.org/abs/1906.03164Test

المؤلفون: Silva, Andrew, Killian, Taylor, Rodriguez, Ivan Dario Jimenez, Son, Sung-Hyun, Gombolay, Matthew

المصدر: Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics 2020, 1855-1865

مصطلحات موضوعية: Computer Science - Machine Learning, Statistics - Machine Learning

الوصول الحر: http://arxiv.org/abs/1903.09338Test

المؤلفون: Goodwin, Justin A., Brown, Olivia M., Killian, Taylor W., Son, Sung-Hyun

مصطلحات موضوعية: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning

الوصول الحر: http://arxiv.org/abs/1811.10714Test

المؤلفون: Gombolay, Matthew, Jensen, Reed, Stigile, Jessica, Golen, Toni, Shah, Neel, Son, Sung-Hyun, Shah, Julie

مصطلحات موضوعية: Computer Science - Artificial Intelligence, Computer Science - Learning

الوصول الحر: http://arxiv.org/abs/1805.04220Test

المؤلفون: Son, Sung Hyun, Kim, Young-Han

المساهمون: National Research Foundation of Korea, Ministry of Education

المصدر: Journal of Asian Economics ; volume 90, page 101696 ; ISSN 1049-0078

مصطلحات موضوعية: Economics and Econometrics, Finance

الإتاحة: https://doi.org/10.1016/j.asieco.2023.101696Test
https://api.elsevier.com/content/article/PII:S1049007823001161?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S1049007823001161?httpAccept=text/plainTest

المؤلفون: Lee, Haneul, Kim, Nam-Kyun, Lee, Myeong-Geon, Kwon, Ji-Won, Son, Sung Hyun, Bae, Namjae, Park, Taejun, Park, Seolhye, Kim, Gon-Ho

المساهمون: Kim, Gon-Ho

مصطلحات موضوعية: LASER-INDUCED FLUORESCENCE, TRANSITION, PRESHEATH, BOUNDARY, PROBE, ion collision effect, plasma-sheath transition, electrostatic sheath, weakly ionized and weakly collisional plasma

العلاقة: Plasma Sources Science and Technology, Vol.31 No.8, p. 084006; https://hdl.handle.net/10371/185798Test; 000843298400001; 2-s2.0-85136931679; 169656

الإتاحة: https://doi.org/10.1088/1361-6595/ac7f52Test
https://hdl.handle.net/10371/185798Test

المؤلفون: Son, Sung Hyun^1,2 (AUTHOR), Go, Geunwoo³ (AUTHOR), Villafana, Willca¹ (AUTHOR), Kaganovich, Igor D¹ (AUTHOR), Khrabrov, Alexander⁴ (AUTHOR), Lee, Hyo-Chang⁵ (AUTHOR), Chung, Kyoung-Jae³ (AUTHOR), Chae, Gwang-Seok⁶ (AUTHOR), Shim, Seungbo⁷ (AUTHOR), Na, Donghyeon⁷ (AUTHOR), Kim, June Young⁸ (AUTHOR) juneyoungkim@korea.ac.kr

المصدر: Applied Physics Letters. 12/4/2023, Vol. 123 Issue 23, p1-5. 5p.

مصطلحات موضوعية: *SEMICONDUCTOR manufacturing, *PLASMA sources, *SEMICONDUCTOR industry, *BREAKDOWN voltage, *PLASMA materials processing, *NARROW gap semiconductors

المؤلفون: Gombolay, Matthew C., Jensen, Reed E., Stigile, Jessica L., Son, Sung-Hyun, Shah, Julie A

المساهمون: Lincoln Laboratory, Massachusetts Institute of Technology. Department of Aeronautics and Astronautics, Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Gombolay, Matthew C., Jensen, Reed E., Stigile, Jessica L., Son, Sung-Hyun, Shah, Julie A

المصدر: MIT Web Domain

وصف الملف: application/pdf

العلاقة: http://dx.doi.orgTest/; Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI); http://hdl.handle.net/1721.1/116062Test; Gombolay, Matthew, Reed Jensen, Jessica Stigile, Sung-Hyun Son and Julie Shah. "Apprenticeship scheduling: Learning to schedule from human experts." In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), New York, New York, July 09-15, 2016.; orcid:0000-0002-5321-6038; orcid:0000-0003-1338-8107

الإتاحة: http://hdl.handle.net/1721.1/116062Test

المؤلفون: Gombolay, Matthew, Jensen, Reed, Stigile, Jessica, Son, Sung-Hyun, Shah, Julie

المساهمون: Lincoln Laboratory, Massachusetts Institute of Technology. Department of Aeronautics and Astronautics, Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory

المصدر: MIT web domain

وصف الملف: application/pdf

العلاقة: https://www.aaai.org/ocs/index.php/WS/AAAIW17/paper/view/15098Test; Workshops at the Thirty-First AAAI Conference on Artificial Intelligence; https://hdl.handle.net/1721.1/125135Test; Gombolay, Matthew et al. "Learning to tutor from expert demonstrators via apprenticeship scheduling." Workshops at the Thirty-First AAAI Conference on Artificial Intelligence (March 2017): 664-669 © 2017 Association for the Advancement of Artificial Intelligence

الإتاحة: https://hdl.handle.net/1721.1/125135Test