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Acknowledgment to Reviewers of Machine Learning and Knowledge Extraction in 2021
Machine Learning and Knowledge Extraction, 2022 Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Machine Learning and Knowledge Extraction Editorial Office
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Acknowledgment to the Reviewers of Machine Learning and Knowledge Extraction in 2022
Machine Learning and Knowledge Extraction, 2023 High-quality academic publishing is built on rigorous peer review [...]
Machine Learning and Knowledge Extraction Editorial Office
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Research and Practice in Technology Enhanced Learning, 2021 An amendment to this paper has been published and can be accessed via the original article.
Research and Practice in Technology Enhanced Learning
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Learning sites for health system governance in Kenya and South Africa: reflecting on our experience
Health Research Policy and Systems, 2020 Background Health system governance is widely recognised as critical to well-performing health systems in low- and middle-income countries. However, in 2008, the Alliance for Health Policy and Systems Research identified governance as a neglected health ...
The RESYST/DIAHLS learning site team
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Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning [PDF]
Sensors, 2021 Dexterous manipulation of the robot is an important part of realizing intelligence, but manipulators can only perform simple tasks such as sorting and packing in a structured environment. In view of the existing problem, this paper presents a state-of-the-art survey on an intelligent robot with the capability of autonomous deciding and learning.
Jiang Hua +3 more
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Meta Learning via Learned Loss [PDF]
2020 25th International Conference on Pattern Recognition (ICPR), 2021 Project website with code and video at https://sites.google.com/view ...
Bechtle, Sarah +6 more
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Cognitive Science, 2023 AbstractHumans can learn complex functional relationships between variables from small amounts of data. In doing so, they draw on prior expectations about the form of these relationships. In three experiments, we show that people learn to adjust these expectations through experience, learning about the likely forms of the functions they will encounter.
Michael Y, Li +4 more
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e-Learning at the Coimbra Group Universities
Je-LKS: Journal of E-Learning and Knowledge Society, 2012 This document is the result of a Strategic Workshop held in Leuven by the Task Force e-Learning (TF eL) of the Coimbra Group (CG), followed by a series of meetings with the TF members on this issue.
Task Force e-Learning Coimbra Group
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MedEdPORTAL, 2015 Introduction Bloom's Taxonomy has become a gold standard for writing learning objectives. Originally developed in the 1950's by Benjamin Bloom and revised in the 1990's by Lorin Anderson, Bloom's Taxonomy is a hierarchical model for organizing thinking ...
Jeanne Schlesinger +2 more
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ONLINE LEARNING – BETWEEN NECESSITY AND OPTION
Journal of Education, Society & Multiculturalism, 2021 The analysis of the educational policy in relation to online education takes into account major decisions that have a direct impact on all those involved in taking these decisions and, of course, on how they become functional.
ONLINE LEARNING – BETWEEN NECESSITY AND OPTION
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