검색어 : 통합검색[High-performance learning communities]
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41
- Influence of Academic Supervision, Work Motivation, and Collaborative Learning Practices on Teacher Performance in Junior High Schools in Berau Regency
- Ellen Rotua Basaria Sitorus; Azainil; Nurlaili; ; (Borneo Educational Journal (Borju), v.7, 2025, pp.58-76)
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42
- e-Learning 교수자의 사용 용이성 제고를 위한 컨텐츠 저작도구(e-Professor) 개발 사례연구
- 김미량; 성균관대학교; (교육정보미디어연구, v.11, 2005, pp.49-72)
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43
- HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders
- Zhao, Wenting; Kong, Shufeng; Bai, Junwen; Fink, Daniel; Gomes, Carla; ; (Proceedings of the ... aaai conference on artificial intelligence, v.35, 2021, pp.15016-15024)
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44
- Automatic construction and evaluation of macro-actions in reinforcement learning
- Davoodabadi Farahani, Marzieh; Mozayani, Nasser; Corresponding author.; (Applied soft computing, v.82, 2019, pp.105574)
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45
- Long-Horizon Associative Learning Explains Human Sensitivity to Statistical and Network Structures in Auditory Sequences
- Benjamin, Lucas; Sablé -Meyer, Mathias; Fló , Ana; Dehaene-Lambertz, Ghislaine; Al Roumi, Fosca; ; (The Journal of neuroscience : the official journal of the Society for Neuroscience, v.44, 2024, pp.e1369232024)
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46
- A Bregman Divergence Optimization Framework for Ranking on Data Manifold and Its New Extensions
- Xu, Bin; Bu, Jiajun; Chen, Chun; Cai, Deng; ; (Proceedings of the ... aaai conference on artificial intelligence, v.26, 2012, pp.1190-1196)
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47
- Predominant Components of the Trust Models in E-learning Environments
- Chamba, Luis; Arruarte, Ana; Elorriaga, Jon; ; (Revista IEEE América Latina = IEEE Latin America transactions, v.14, 2016, pp.4799-4810)
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48
- Investigation of machine learning algorithms for taxonomic classification of marine metagenomes
- Park, Helen; Lim, Shen Jean; Cosme, Jonathan; O'Connell, Kyle; Sandeep, Jilla; Gayanilo, Felimon; Cutter Jr., George R.; Montes, Enrique; Nitikitpaiboon, Chotinan; Fisher, Sam; Moustahfid, Hassan; Thompson, Luke R.; Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua-Peking Center for Life Sciences, Tsinghua University , Beijing , China; Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami , Miami , Florida , USA; Run:AI, Office of the CTO , Tel Aviv , Israel; Deloitte Consulting LLP, Biomedical Data Science Team , Arlington , Virginia , USA; Harte Research Institute, Texas A&M University-Corpus Christi , Corpus Christi , Texas , USA; Harte Research Institute, Texas A&M University-Corpus Christi , Corpus Christi , Texas , USA; Southwest Fisheries Science Center, Antarctic Ecosystem Research Division, National Oceanic and Atmospheric Administration , La Jolla , California , USA; Cooperative Institute for Marine an; (Microbiology spectrum, v.11, 2023, pp.e05237-22)
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49
- MUMI: Multitask Module Identification for Biological Networks
- Chen, Weiqi; Zhu, Zexuan; He, Shan; School of Computer Science, University of Birmingham, Birmingham, U.K.; College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China; School of Computer Science, University of Birmingham, Birmingham, U.K.; (IEEE transactions on evolutionary computation : a publication of the IEEE Neural Networks Council, v.24, 2020, pp.765-776)
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50
- Communities of Practice versus Organizational Climate: Which One Matters More to Dispersed Collaboration in the Front End of Innovation?
- Bertels, Heidi M. J.; Kleinschmidt, Elko J.; Koen, Peter A.; University of Pittsburgh; McMaster University; Wesley J. Howe School of Technology Management; (The Journal of product innovation management, v.28, 2011, pp.757-772)
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