Literatura académica sobre el tema "Online Sequential Learning From Preferences"
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Artículos de revistas sobre el tema "Online Sequential Learning From Preferences"
Ali, El mezouary, Hmedna Brahim y Omar Baz. "An Unsupervised Method for Discovering How Does Learners' Progress Toward Understanding in MOOCs". International Journal of Innovative Technology and Exploring Engineering 10, n.º 5 (30 de marzo de 2021): 40–49. http://dx.doi.org/10.35940/ijitee.e8673.0310521.
Texto completoShkodina, Tatiana A. "Formation of an individual trajectory of online learning on the basis of cluster analysis". Journal Of Applied Informatics 18, n.º 2 (31 de marzo de 2023): 4–15. http://dx.doi.org/10.37791/2687-0649-2023-18-2-4-15.
Texto completoZheng, Yujia, Siyi Liu, Zekun Li y Shu Wu. "Cold-start Sequential Recommendation via Meta Learner". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 5 (18 de mayo de 2021): 4706–13. http://dx.doi.org/10.1609/aaai.v35i5.16601.
Texto completoBilmona, Hanafi. "Sequential Blended Teaching Materials: Scaffolding Non-English Language Learners’ Scientific Literacy Using Online Sources, Edpuzzle". PEJLaC: Pattimura Excellence Journal of Language and Culture 1, n.º 1 (1 de junio de 2021): 26–33. http://dx.doi.org/10.30598/pejlac.v1.i1.pp26-33.
Texto completoJiang, Nan, Sheng Jin, Zhiyao Duan y Changshui Zhang. "RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 01 (3 de abril de 2020): 710–18. http://dx.doi.org/10.1609/aaai.v34i01.5413.
Texto completoThaipisutikul, Tipajin. "An Adaptive Temporal-Concept Drift Model for Sequential Recommendation". ECTI Transactions on Computer and Information Technology (ECTI-CIT) 16, n.º 2 (11 de junio de 2022): 222–36. http://dx.doi.org/10.37936/ecti-cit.2022162.248019.
Texto completoThaipisutikul, Tipajin. "An Adaptive Temporal-Concept Drift Model for Sequential Recommendation". ECTI Transactions on Computer and Information Technology (ECTI-CIT) 16, n.º 2 (7 de junio de 2022): 221–35. http://dx.doi.org/10.37936/ecticit.2022162.248019.
Texto completoKan, Yirong, Kun Yue, Hao Wu, Xiaodong Fu y Zhengbao Sun. "Online Learning of Parameters for Modeling User Preference Based on Bayesian Network". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 30, n.º 02 (abril de 2022): 285–310. http://dx.doi.org/10.1142/s021848852250012x.
Texto completoLi, Zhao, Long Zhang, Chenyi Lei, Xia Chen, Jianliang Gao y Jun Gao. "Attention with Long-Term Interval-Based Deep Sequential Learning for Recommendation". Complexity 2020 (13 de julio de 2020): 1–13. http://dx.doi.org/10.1155/2020/6136095.
Texto completoAnisa, Anisa. "EFL Students’ Perceptions and Preferences of The Video Use as a Replacement for Traditional Lecture Method". IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature 10, n.º 1 (10 de junio de 2022): 310–25. http://dx.doi.org/10.24256/ideas.v10i1.2656.
Texto completoTesis sobre el tema "Online Sequential Learning From Preferences"
Saha, Aadirupa. "Battle of Bandits: Online Learning from Subsetwise Preferences and Other Structured Feedback". Thesis, 2020. https://etd.iisc.ac.in/handle/2005/5184.
Texto completoCapítulos de libros sobre el tema "Online Sequential Learning From Preferences"
Guerin, Joshua T., Thomas E. Allen y Judy Goldsmith. "Learning CP-net Preferences Online from User Queries". En Algorithmic Decision Theory, 208–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41575-3_16.
Texto completoStracke, Christian M., Aras Bozkurt y Daniel Burgos. "Typologies of (Open) Online Courses and Their Dimensions, Characteristics and Relationships with Distributed Learning Ecosystems, Open Educational Resources, and Massive Open Online Courses". En Distributed Learning Ecosystems, 71–95. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-38703-7_5.
Texto completoJost, Patrick y Monica Divitini. "From Paper to Online: Digitizing Card Based Co-creation of Games for Privacy Education". En Technology-Enhanced Learning for a Free, Safe, and Sustainable World, 178–92. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86436-1_14.
Texto completoRamponi, Giorgia. "Learning in the Presence of Multiple Agents". En Special Topics in Information Technology, 93–103. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15374-7_8.
Texto completoWilliams, Geoffrey Alan. "Understanding the Preferences for Online Learning". En Advancing Innovation and Sustainable Outcomes in International Graduate Education, 194–208. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5514-9.ch012.
Texto completoHall, Andrea. "Designing Culturally Appropriate E-Learning for Learners from an Arabic Background". En Cases on Globalized and Culturally Appropriate E-Learning, 94–113. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61520-989-7.ch005.
Texto completoSharma, Meenakshi y Alka Dwivedi. "Relationship Between Online Learning Environments and Student Behaviour". En Technology Training for Educators From Past to Present, 239–49. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-4083-4.ch012.
Texto completoKumar Mitra, Nilesh. "New Updates in Online Learning". En New Updates in E-Learning [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.102576.
Texto completoZhao, Jinjing. "L2 Languaging in a Massively Multiplayer Online Game". En Computer-Assisted Language Learning, 855–72. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7663-1.ch040.
Texto completoKale, Archana P., Shefali P. Sonavane, Shashwati P. Kale y Aditi R. Wade. "Multimodal Genetic Optimized Feature Selection for Online Sequential Extreme Learning Machine". En Artificial Intelligence and Natural Algorithms, 250–60. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9789815036091122010017.
Texto completoActas de conferencias sobre el tema "Online Sequential Learning From Preferences"
Wu, Bo, Wen-Huang Cheng, Yongdong Zhang, Qiushi Huang, Jintao Li y Tao Mei. "Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks". En Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/427.
Texto completoMyers, Vivek, Erdem Bıyık y Dorsa Sadigh. "Active Reward Learning from Online Preferences". En 2023 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2023. http://dx.doi.org/10.1109/icra48891.2023.10160439.
Texto completoVlaski, Stefan, Hermina P. Maretic, Roula Nassif, Pascal Frossard y Ali H. Sayed. "ONLINE GRAPH LEARNING FROM SEQUENTIAL DATA". En 2018 IEEE Data Science Workshop (DSW). IEEE, 2018. http://dx.doi.org/10.1109/dsw.2018.8439913.
Texto completoLuo, Yong, Tongliang Liu, Yonggang Wen y Dacheng Tao. "Online Heterogeneous Transfer Metric Learning". En Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/350.
Texto completoPereira, Fabiola S. F., Gina M. B. Oliveira y João Gama. "User Preference Dynamics on Evolving Social Networks - Learning, Modeling and Prediction". En XXV Simpósio Brasileiro de Sistemas Multimídia e Web. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/webmedia_estendido.2019.8129.
Texto completoSioson, Irish Chan. "Attitudes of Thai English Learners towards Online Learning of Speaking". En 16th Education and Development Conference. Tomorrow People Organization, 2021. http://dx.doi.org/10.52987/edc.2021.003.
Texto completoZhou, Xiao, Danyang Liu, Jianxun Lian y Xing Xie. "Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems". En Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/619.
Texto completoJin, Jian, Ying Liu, Ping Ji y Richard Fung. "Design Preference Centered Review Recommendation: A Similarity Learning Approach". En ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48181.
Texto completoLi, Chang y Maarten de Rijke. "Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model". En Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/396.
Texto completoFeldhammer-Kahr, Martina, Stefan Dreisiebner, Martin Arendasy y Manuela Paechter. "ONE MONTH BEFORE THE PANDEMIC: STUDENTS’ PREFERENCES FOR FLEXIBLE LEARNING AND WHAT WE CAN LEARN". En International Psychological Applications Conference and Trends. inScience Press, 2021. http://dx.doi.org/10.36315/2021inpact039.
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