Results 11 to 20 of about 251,924 (243)
Journal of Medical Education and Curricular Development, 2023 OBJECTIVES Children with physical disabilities (CWPD) have historically experienced inadequate and insensitive care across medical settings. A lack of comfort and knowledge about CWPD is prevalent among healthcare provider trainees.
Alexandra Kimmel +5 more
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Learning to Adapt: A Meta-learning Approach for Speaker Adaptation [PDF]
Interspeech 2018, 2018 Interspeech ...
Klejch, Ondrej +2 more
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Measuring Risk Literacy: The Berlin Numeracy Test
Judgment and Decision Making, 2012 We introduce the Berlin Numeracy Test, a new psychometrically sound instrument that quickly assesses statistical numeracy and risk literacy. We present 21 studies (n=5336) showing robust psychometric discriminability across 15 countries (e.g., Germany ...
Edward T. Cokely +4 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
Teoh, Penelope J., Camm, Christian F.
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Predicting biases in very highly educated samples: Numeracy and metacognition
Judgment and Decision Making, 2014 We investigated the relations between numeracy and superior judgment and decision making in two large community outreach studies in Holland (n=5408). In these very highly educated samples (e.g., 30–50% held graduate degrees), the Berlin Numeracy Test was
Saima Ghazal +2 more
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Analyzing Trade in Continuous Intra-Day Electricity Market: An Agent-Based Modeling Approach
Energies, 2021 In recent years, the vast penetration of renewable energy sources has introduced a large degree of uncertainty into the power system, thus leading to increased trading activity in the continuous intra-day electricity market.
Priyanka Shinde +4 more
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Domain Adaptive Ensemble Learning [PDF]
IEEE Transactions on Image Processing, 2021 The problem of generalizing deep neural networks from multiple source domains to a target one is studied under two settings: When unlabeled target data is available, it is a multi-source unsupervised domain adaptation (UDA) problem, otherwise a domain generalization (DG) problem.
Kaiyang Zhou +3 more
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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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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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Adaptive Social Learning [PDF]
SSRN Electronic Journal, 2016 The paper investigates social-learning when the information structure is not commonly known. Individuals repeatedly interact in social-learning settings with distinct information structures. In each round of interaction, they use their experience gained in past rounds to draw inferences from their predecessors’ current decisions. Such adaptation yields
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