Browse "RIMS Collection" by Title
Showing results 4201 to 4220 of 11387
| Learning automata and reservation based secure smart parking system: Methodology and simulation analysis Waheed, Amtul; Krishna, P. Venkata; Gitanjali, J.; Sadoun, Balqies; Obaidat, Mohammad, SIMULATION MODELLING PRACTICE AND THEORY, v.106, 2021-01 |
| Learning content management system & educational environment management system for personalized e-learning Park, Sang Chan, European Applied business Research Conference, 2003 |
| Learning cooperation in a tangible Moyangsung Park K.S.; Cho Hyun Sang; Lim J.; Cho Y.; Kang S.; Park S., 2nd International Conference on Virtual Reality, ICVR 2007, pp.689 - 698, 2007-07-22 |
| Learning De-biased Representations with Biased Representations Bahng, Hyojin; Chun, Sanghyuk; Yun, Sangdoo; Choo, Jaegul; Oh, Seongjoon, 37th International Conference on Machine Learning, ICML 2020, pp.505 - 516, International Conference on Machine Learning Group, 2020-07 |
| Learning Debiased Representation via Disentangled Feature Augmentation Lee, Jungsoo; Kim, Eungyeup; Lee, Juyoung; Lee, Jihyeon; Choo, Jaegul, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Conference on Neural Information Processing Systems, 2021-12-07 |
| Learning from Failure: De-biasing Classifier from Biased Classifier Nam, Jun Hyun; Cha, Hyuntak; Ahn, Sungsoo; Lee, Jaeho; Shin, Jinwoo, 34th Conference on Neural Information Processing Systems (NeurIPS) 2020, Neural Information Processing Systems, 2020-12-07 |
| Learning in ambidextrous organizations: Evaluation heterogeneity and loss of good ideas Yi, Sangyoon; Lee, Jeho; Ethiraj, Sendil, Annual Meeting of Theoretical Organizational Modeling Society, INSEAD, 2018-06-29 |
| Learning on the Web through Virtual Reality: Developing an Educational Game 김형관, '98 Korean Society for Mathematical Education Spring Conf. Proc., 1999 |
| Learning Rules to Extract Protein Interactions from Biomedical Text Lee, Kwang-Hyung; Phuong, Tu Minh; Lee, Doheon, PAKDD2003, pp.148 - 158, Lecture Notes in Artificial Intelligence, 2003-04-01 |
| 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 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 |
| Learning the group structure of deep neural networks with an expectation maximization method Yi, Subin; Choi, Jaesik, 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018, pp.689 - 696, IEEE International Conference on Data Mining Workshops, 2018-11-17 |
| Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks 이해범; 이하연; Na, Donghyun; Kim, Saehoon; Park, Minseop; Yang, Eunho; Hwang, Sung Ju, Eighth International Conference on Learning Representations, ICLR 2020, ICLR, 2020-04-27 |
| Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction Baek, Jinheon; Lee, Dong Bok; Hwang, Sung Ju, The 34th Conference on Neural Information Processing Systems, NeurIPS 2020, Neural information processing systems foundation, 2020-12-07 |
| Learning to Focus and Track Extreme Climate Events Kim, Sookyung; Park, Sunghyun; Chung, Sunghyo; Lee, Joonseok; Lee, Yunsung; Kim, Hyojin; Prabhat, Mr; et al, 30th British Machine Vision Conference, BMVC 2019, British Machine Vision Association (BMVA), 2019-09 |
| Learning to perturb word embeddings for out-of-distribution QA Lee, Seanie; Kang, Minki; Lee, Juho; Hwang, Sung Ju, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association for Computational Linguistics (ACL) and Asian Federation of Natural Language Processing (AFNLP), 2021-08-02 |
| Learning to propagate labels: Transductive propagation network for few-shot learning Liu, Yanbin; Lee, Juho; Park, Minseop; Kim, Saehoon; Yang, Eunho; Hwang, Sung Ju; Yang, Yi, 7th International Conference on Learning Representations, ICLR 2019, International Conference on Learning Representations, ICLR, 2019-05-06 |
| Learning value functions with relational state representations for guiding task-and-motion planning Kim, Beomjoon; Shimanuki, Luke, 3rd Conference on Robot Learning, CoRL 2019, Conference on Robot Learning, 2019-10 |
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