Showing results 1 to 7 of 7
Adversarial Dropout for Supervised and Semi-Supervised Learning Park, Sungrae; Park, JunKeon; Shin, Su-Jin; Moon, Il-Chul, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, pp.3917 - 3924, AAAI press, 2018-02-07 |
Guided HTM: Hierarchical Topic Model with Dirichlet Forest Priors Shin, Su-Jin; Moon, Il-Chul, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, v.29, no.2, pp.330 - 343, 2017-02 |
Hierarchical mixture modelings for different types of data : (a) nonparametric bayesian approach = 다양한 타입의 데이터를 위한 계층적 혼합 모델링 : 비모수적 베이지안 접근법link Shin, Su-Jin; Moon, Il-Chul; et al, 한국과학기술원, 2019 |
Hierarchical prescription pattern analysis with symptom labels Shin, Su-Jin; Oh, Je-Yong; Park, Sungrae; Kim, Minki; Moon, Il-Chul, PATTERN RECOGNITION LETTERS, v.111, pp.94 - 100, 2018-08 |
Hierarchically Clustered Representation Learning Shin, Su-Jin; Song, Kyungwoo; Moon, Il-Chul, 34th AAAI Conference on Artificial Intelligence, AAAI 2020, pp.5776 - 5783, AAAI, 2020-02-07 |
Identifying the Evolution of Disasters and Responses with Network-Text Analysis Song, Kyungwoo; Kim, Do-Hyeong; Shin, Su-Jin; Moon, Il-Chul, IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, IEEE Systems, Man, and Cybernetics Society, 2014-10-07 |
Improving counterfire operations with enhanced command and control structure Shin, Su-Jin; Kang, Ahram; Kim, Doyun; Lee, Junseok; Bae, Jang Won; Moon, Il-Chul, COMPUTATIONAL AND MATHEMATICAL ORGANIZATION THEORY, v.25, no.4, pp.464 - 498, 2019-12 |
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