Results 21 to 30 of about 10,830,582 (300)
International Journal of Behavioral Nutrition and Physical Activity, 2023 Background Physically active learning (PAL) has emerged as a promising way of eliciting health and education-based outcomes for pupils. Concurrently, research suggests large variability in how PAL is perceived, operationalized, and prioritized in ...
Anna Chalkley +4 more
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Sim-to-real via latent prediction: Transferring visual non-prehensile manipulation policies
Frontiers in Robotics and AI, 2023 Reinforcement Learning has been shown to have a great potential for robotics. It demonstrated the capability to solve complex manipulation and locomotion tasks, even by learning end-to-end policies that operate directly on visual input, removing the need
Carlo Rizzardo +3 more
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Multiple Instance Active Learning for Object Detection [PDF]
Computer Vision and Pattern Recognition, 2021 Despite the substantial progress of active learning for image recognition, there still lacks an instance-level active learning method specified for object detection.
Tianning Yuan +6 more
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Scientific Reports, 2022 The aim of our systematic review and meta-analysis was to quantitatively synthesise the effects of school-based peer-led interventions on leaders’ academic, psychosocial, behavioural, and physical outcomes. Eligible studies were those that: (i) evaluated
Levi Wade +9 more
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Defining Active Learning: A Restricted Systemic Review
Teaching and Learning Inquiry, 2023 What is active learning? While active learning has been demonstrated to have positive impacts on student learning and performance, defining the concept has been elusive.
Peter Doolittle +2 more
semanticscholar +1 more source
Active Learning for Domain Adaptation: An Energy-based Approach [PDF]
AAAI Conference on Artificial Intelligence, 2021 Unsupervised domain adaptation has recently emerged as an effective paradigm for generalizing deep neural networks to new target domains. However, there is still enormous potential to be tapped to reach the fully supervised performance. In this paper, we
Binhui Xie +5 more
semanticscholar +1 more source
Active Learning for Deep Object Detection via Probabilistic Modeling [PDF]
IEEE International Conference on Computer Vision, 2021 Active learning aims to reduce labeling costs by selecting only the most informative samples on a dataset. Few existing works have addressed active learning for object detection.
Jiwoong Choi +4 more
semanticscholar +1 more source
Active learning strategies for an effective mathematics teaching and learning
European Journal of Science and Mathematics Education, 2023 Learning is an active enterprise, where three dimensions stand out, cognitive, social, and physical, and, in addition, not all students learn in the same way.
Isabel Vale, Ana Barbosa
semanticscholar +1 more source
Systematic Reviews, 2023 Background Sport is a subset of physical activity that can be particularly beneficial for short-and-long-term physical and mental health, and social outcomes in adults.
Narelle Eather +3 more
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Learning User's Confidence for Active Learning [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2013 In this paper, we study the applicability of active learning in operative scenarios: more particularly, we consider the well-known contradiction between the active learning heuristics, which rank the pixels according to their uncertainty, and the user's confidence in labeling, which is related to both the homogeneity of the pixel context and user's ...
Devis Tuia, Jordi Muñoz-Marí
openaire +3 more sources