Results 31 to 40 of about 636,159 (270)
Applied Sciences, 2023 International students face unique challenges in pursuing higher education in a foreign country. To address these challenges and enhance their academic experience, higher education institutions are increasingly exploring the use of artificial ...
Ting Wang +6 more
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2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Real world applications of stereo depth estimation require models that are robust to dynamic variations in the environment. Even though deep learning based stereo methods are successful, they often fail to generalize to unseen variations in the environment, making them less suitable for practical applications such as autonomous driving.
Tonioni A. +5 more
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The Training of Morphological Decomposition in Word Processing and Its Effects on Literacy Skills
Frontiers in Psychology, 2017 This study set out to examine the effects of a morpheme-based training on reading and spelling in fifth and sixth graders (N = 47), who present poor literacy skills and speak German as a second language.
Irit Bar-Kochva +5 more
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Annals of Medicine & Surgery, 2013 A recent paper 1 has highlighted the use of randomised controlled trials (RCTs) as a basis for creating and implementing policies by the United Kingdom government. However, RCTs are potentially difficult, costly, and complex. Therefore, this paper explores what public policy-makers can learn from medicine’s extensive experience with RCTs so that public
Penelope Teoh, Christian F. Camm
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Engineering Proceedings, 2023 Technology is used in research to satisfy the needs of the public. As there is a growing trend for adaptive/personalized learning, intelligent tutoring systems are used in various studies to overcome personal limitations. Thus, we reviewed the trends and
Thanyaluck Ingkavara +2 more
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Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022 Conventional federated learning (FL) trains one global model for a federation of clients with decentralized data, reducing the privacy risk of centralized training. However, the distribution shift across non-IID datasets, often poses a challenge to this one-model-fits-all solution. Personalized FL aims to mitigate this issue systematically.
Luo, Jun, Wu, Shandong
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Feature-Model-Guided Online Learning for Self-Adaptive Systems [PDF]
Computing 2022, 2019 A self-adaptive system can modify its own structure and behavior at runtime based on its perception of the environment, of itself and of its requirements. To develop a self-adaptive system, software developers codify knowledge about the system and its environment, as well as how adaptation actions impact on the system.
arxiv +1 more source
F1000Research, 2021 Background: Studies have acknowledged that social media enables students to connect with and learn from experts from different ties available in the students’ personal learning environment (PLE). Incorporating experts into formal learning activities such
Aznur Hajar Abdullah +2 more
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Network models and sensor layers to design adaptive learning using educational mapping
Design Science, 2021 A network modelling approach to educational mapping leads to a scalable computational model that supports adaptive learning, intelligent tutors, intelligent teaching assistants, and data-driven continuous improvement.
Luwen Huang, Karen E. Willcox
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Neural encoding of task-dependent errors during adaptive learning
eLife, 2020 Effective learning requires using errors in a task-dependent manner, for example adjusting to errors that result from unpredicted environmental changes but ignoring errors that result from environmental stochasticity.
Chang-Hao Kao +3 more
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