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| Learning Stochastic Optimal Policies via Gradient Descent Massaroli, Stefano; Poli, Michael; Peluchetti, Stefano; Park, Jinkyoo; Yamashita, Atsushi; Asama, Hajime, IEEE CONTROL SYSTEMS LETTERS, v.6, pp.1094 - 1099, 2022 |
| Learning Structure for Concrete Crack Detection Using Robust Super-Resolution with Generative Adversarial Network Kim, Jin; Shim, Seungbo; Kang, Seok-Jun; Cho, Gye-Chun, STRUCTURAL CONTROL & HEALTH MONITORING, v.2023, 2023-04 |
| Learning structure of human behavior patterns in a smart home system Bien, Z; Lee, Sang Wan, Advances in Intelligent and Soft Computing, v.82, pp.1 - 15, 2010 |
| Learning Style Correlation For Elaborate Few-Shot Classification Kim, Junho; Kim, Minsu; Kim, Jung Uk; Lee, Hong Joo; Lee, Sangmin; Hong, Joanna; Ro, Yong Man, IEEE International Conference on Image Processing (ICIP) 2020, pp.1791 - 1795, IEEE Signal Processing Society, 2020-10-25 |
| Learning Super-scale Microbump Pin Assignment Optimization for Real-world PCB Design with Graph Representation Park, Joonsang; Kim, Joungho; Choi, Seonguk; Kim, Haeyeon; Park, Hyunwook; Kim, SeongGuk; Shin, TaeIn, DesignCon 2022, IEEE, 2022-04-05 |
| Learning symmetric rules with SATNet = SATNet을 이용하여 대칭성을 가지는 논리적 문제 학습하기link Lim, Sangho; Yang, Hongseok; et al, 한국과학기술원, 2023 |
| Learning Symmetric Rules with SATNet Lim, Sangho; Oh, Eun-Gyeol; Yang, Hongseok, The 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Neural information processing systems foundation, 2022-11-30 |
| Learning Symmetrization for Equivariance with Orbit Distance Minimization Nguyen, Dat Tien; Kim, Jinwoo; Hong, Seunghoon, Workshop on Symmetry and Geometry in Neural Representations, NeurIPS 2023, Neural Information Processing Systems Foundation, 2023-12-11 |
| Learning Systems for Manufacturing Automation: Integrating Explicit and Implicit Knowledge. Steven Hyung Kim, International Conference on the Manufacturing Science and Technology of the Future., 1989 |
| Learning Systems for Prediction and Trading: Application to Korea and Poland 김형관, 한국경영학회 '97 춘계학술대회, pp.289 - 308, 1997 |
| Learning Systems for Process Automation through Knowledge Integration Steven Hyung Kim, World Congress on Expert Systems, 1994 |
| Learning Task Clusters via Sparsity Grouped Multitask Learning Kshirsagar, Meghana; Yang, Eunho; Lozano, Aurélie C, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2017, pp.673 - 689, Springer Verlag, 2017-09 |
| Learning task invariance with analogy making = 유추에 의한 과제 불변성 학습 방법link Joo, Shinyoung; Lee, Sang Wan; et al, 한국과학기술원, 2022 |
| Learning Task Structure Via Sparsity Grouped Multitask Learning Kshirsagar, Meghana; Yang, Eunho; Lozano, Aurelie, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 2017-09-19 |
| Learning techniques in service robotic environment Bien, Z. Zenn; Lee, Hyong-Euk; Lee, Sang Wan; Park, Kwang-Hyun, 7th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science, FLINS, 2006-08-29 |
| Learning test-mutant relationship for accurate fault localisation Kim, Jinhan; An, Gabin; Feldt, Robert; Yoo, Shin, INFORMATION AND SOFTWARE TECHNOLOGY, v.162, 2023-10 |
| Learning the Compositional Domains for Generalized Zero-shot Learning Dong, Hanze; Fu, Yanwei; Hwang, Sung Ju; Sigal, Leonid; Xue, Xiangyang, COMPUTER VISION AND IMAGE UNDERSTANDING, v.221, 2022-08 |
| Learning the Dynamical System Behind Sensory Data 이재형; Lee, Soo-Young, NEURAL COMPUTATION, v.22, no.6, pp.1615 - 1645, 2010-06 |
| Learning the Dynamical System Behind Sensory Data (only abstract) Lee, Jaehyung; Lee, Soo-Young, East-Asia Inter-University Workshop on Brain Engineering (EAW2010), 2010-03 |
| Learning the Graphical Structure of Electronic Health Records using Graph Convolutional Transformer Choi, Yoonjae; Xu, Zhen; Li, Yujia; Dusenberry, Michael W.; Flores, Gerardo; Xue, Emily; Dai, Andrew M, 34th AAAI Conference on Artificial Intelligence, AAAI, 2020-02-10 |
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