Showing results 1 to 10 of 10
Bayesian Nonparametric Joint Mixture Model for Clustering Spatially Correlated Time Series Lee, Youngmin; Kim, Heeyoung, TECHNOMETRICS, v.62, no.3, pp.313 - 329, 2020-07 |
Black-box Modeling for Aircraft Maneuver Control with Bayesian Optimization Kim, Dohyung; Oh, Hyun-Shik; Moon, Il-Chul, INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v.17, no.6, pp.1558 - 1568, 2019-06 |
Contextual Bayesian optimization with trust region (CBOTR) and its application to cooperative wind farm control in region 2 Park, Jinkyoo, Sustainable Energy Technologies and Assessments, v.38, 2020-04 |
Deep Latent Factor Model for Spatio-Temporal Forecasting Koo, Wonmo; Ma, Eun-Yeol; Kim, Heeyoung, TECHNOMETRICS, v.66, no.3, pp.470 - 482, 2024-07 |
Efficient inference for gaussian random field and its applications = 가우시안 확률장의 효율적인 추론과 응용link Moon, Hyungil; 문형일; et al, 한국과학기술원, 2017 |
Multiresolution spatial generalized linear mixed model for integrating multi-fidelity spatial count data without common identifiers between data sources Kim, Sungil; Duan, Rong; Ma, Guang-Qin; Kim, Heeyoung, SPATIAL STATISTICS, v.39, 2020-10 |
Robust Kriging models in computer experiments Park, Taejin; Yum, Bong-Jin; Hung, Ying; Jeong, Young-Seon; Jeong, Myong K., JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, v.67, no.4, pp.644 - 653, 2016-04 |
Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission Jung, Yohan; Park, Jinkyoo, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, v.31, no.3, pp.666 - 683, 2022-07 |
Spatially-correlated time series clustering using location-dependent Dirichlet process mixture model Jung, Junsub; Kim, Sungil; Kim, Heeyoung, STATISTICAL ANALYSIS AND DATA MINING, v.17, no.1, 2024-02 |
State Prediction of High-speed Ballistic Vehicles with Gaussian Process Moon, Il-Chul; Song, Kyungwoo; Kim, Sang Hyeon; Choi, Han-Lim, INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v.16, no.3, pp.1282 - 1292, 2018-06 |
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