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Showing results 119281 to 119300 of 276605
| Learning from Disaster? The History of Technology and the Future of Disaster Research Knowles, Scott Gabriel, TECHNOLOGY AND CULTURE, v.55, no.4, pp.773 - 784, 2014-10 |
| 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 from Imbalanced and Hierarchically Dual-Labeled Data Yun, Juseung; Kim, Youngdong; Yim, Junho; Cho, Hansang; Kim, Junmo, 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018, Institute of Electrical and Electronics Engineers Inc., 2018-06 |
| Learning From Noisy Labels With Deep Neural Networks: A Survey Song, Hwanjun; Kim, Minseok; Park, Dongmin; Shin, Yooju; Lee, Jae-Gil, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.34, no.11, pp.8135 - 8153, 2023-11 |
| Learning from Others’ Failure and Successful Innovation in Entrepreneurship: Evidence from France Hascoet, Carole; 김남일; 김원준; 강재원, 기업가정신과 벤처연구, v.21, no.2, pp.1 - 14, 2018 |
| Learning from the failure: experiences in the Korean telecommunications market Ahn, Jae-Hyeon; Kim, MS; Lee, DJ, TECHNOVATION, v.25, no.1, pp.69 - 82, 2005-01 |
| Learning from the Trenches of Embodiment Design: The Designing, Prototyping, and Fabricating a Large Interactive Display Verlinden, Jouke; Saakes, Daniel Pieter; Luxen, Rob, 디자인학연구, v.28, no.3, pp.5 - 19, 2015-08 |
| Learning from Within and Without in the Science and Technology Policy of Korea Yoon, Jeong-Ro, INTERNATIONAL JOURNAL OF CONTEMPORARY SOCIOLOGY, v.42, no.1, pp.51 - 66, 2005-04 |
| Learning from Without and Within in the Science and Technology Policy of Korea Yoon, Jeong-Ro; Hwang, Hyeran, International Workshop on Science, Technology and Society, 2002-04-24 |
| Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces Sung, Minhyuk; Dubrovina, Anastasia; Kim, Vladimir G.; Guibas, Leonidas, Computer Graphics Forum, v.37, no.5, pp.71 - 81, 2018-08 |
| Learning gait planning of quadrupedal robot via model predictive control and gait parameterization = 모델 예측 제어와 걸음걸이 매개변수화를 통한 사족형 로봇의 보행 계획 학습link Byun, Joo-Woong; Park, Hae-Won; 박해원; Hwangbo, Jemin; et al, 한국과학기술원, 2022 |
| Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network Ha, Seungwoong; Jeong, Hawoong, ICLR2023, pp.12319 - 12338, ICLR, 2023-05-03 |
| Learning hierarchical representations for music classification = 음악 분류를 위한 계층적 표현 학습link Lee, Jong Pil; Nam, Ju Han; et al, 한국과학기술원, 2017 |
| Learning hierarchical semantic image manipulation through structured representations Hong, Seunghoon; Yan, Xinchen; Huang, Thomas; Lee, Honglak, 32nd Conference on Neural Information Processing Systems, NeurIPS 2018, pp.2708 - 2718, Neural information processing systems foundation, 2018-12-02 |
| Learning High Dimensional Multi-response Linear Models with Hybrid Quantum Computing Chen, Jinyang; Park, Cheolwoo; Ke, Yuan, 3rd IEEE International Conference on Quantum Computing and Engineering (QCE), IEEE, 2022-09-19 |
| Learning How Long to Wait: Adaptively-Constrained Monotonic Multihead Attention for Streaming ASR Song, Jaeyun; Shim, Hajin; Yang, Eunho, 2021 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2021, pp.441 - 448, Institute of Electrical and Electronics Engineers Inc., 2021-12-15 |
| Learning how spectator reactions affect popularity on twitch Kim, Jeongmin; Park, Kunwoo; Song, Hyeonho; Park, Jaimie Y; Cha, Meeyoung, 2020 IEEE International Conference on Big Data and Smart Computing, BigComp 2020, pp.147 - 154, Institute of Electrical and Electronics Engineers Inc., 2020-02-21 |
| Learning How to Demodulate from Few Pilots via Meta-Learning Park, Sangwoo; Jang, Hyeryung; Simeone, Osvaldo; Kang, Joonhyuk, 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019, Institute of Electrical and Electronics Engineers Inc., 2019-07-02 |
| Learning Human Behavior Patterns for Proactive Service System: Agglomerative Fuzzy Clustering-based Fuzzy-state Q-learning Lee, Sang Wan; Kim, Yong Soo; Bien, Zeungnam, 2008 International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA 2008, pp.362 - 367, IEEE Computer society, 2008-12 |
| Learning Human Behavior Patterns for Proactive Service System: Agglomerative Fuzzy Clustering-based Fuzzy-state Q-learning Lee S.W.; Kim Y.S.; Bien, Zeung nam, 2008 International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA 2008, pp.362 - 367, 123, 2008-12-10 |
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