Results 11 to 20 of about 636,159 (270)
Migrainous vertigo impairs adaptive learning as a function of uncertainty [PDF]
Frontiers in NeurologyObjectiveIn this study, we examined whether vestibular migraine, as a source of increased perceptual uncertainty due to the associated dizziness, interferes with adaptive learning.MethodsThe IOWA gambling task (IGT) was used to assess adaptive learning ...
Mishaal Sharif +12 more
doaj +2 more sources
Adaptive learning is structure learning in time [PDF]
Neuroscience & Biobehavioral Reviews, 2020 People use information flexibly. They often combine multiple sources of relevant information over time in order to inform decisions with little or no interference from intervening irrelevant sources. They adjust the degree to which they use new information over time rationally in accordance with environmental statistics and their own uncertainty.
Linda Q. Yu +2 more
openaire +5 more sources
Image quality improvement in low‐dose chest CT with deep learning image reconstruction
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Objectives To investigate the clinical utility of deep learning image reconstruction (DLIR) for improving image quality in low‐dose chest CT in comparison with 40% adaptive statistical iterative reconstruction‐Veo (ASiR‐V40%) algorithm. Methods This retrospective study included 86 patients who underwent low‐dose CT for lung cancer screening ...
Qian Tian +7 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose To assess whether the joint application of hybrid iterative reconstruction (HIR) and an adaptive filter (AF) could reduce streak artifacts and improve image quality of neck‐and‐shoulder computed tomography (CT). Methods This study included 96 patients with suspicious neck lesions who underwent a routine nonenhanced scan on a 64‐slice ...
Wenfeng Jin +6 more
wiley +1 more source
Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems using Lifelong Self-Adaptation [PDF]
, 2022 Recently, machine learning (ML) has become a popular approach to support self-adaptation. ML has been used to deal with several problems in self-adaptation, such as maintaining an up-to-date runtime model under uncertainty and scalable decision-making. Yet, exploiting ML comes with inherent challenges.
arxiv +1 more source
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-Adaptive Systems [PDF]
, 2022 Many software systems today face uncertain operating conditions, such as sudden changes in the availability of resources or unexpected user behavior. Without proper mitigation these uncertainties can jeopardize the system goals. Self-adaptation is a common approach to tackle such uncertainties.
arxiv +1 more source
Фізико-математична освіта, 2022 Formulation of the problem. In the context of online / blended learning, the relevance of research on the use of digital technologies as a means of adaptive learning for higher education in computer science and mathematics is undeniable.
Олена Косовець +3 more
doaj +1 more source
Frontiers in Psychology, 2022 This study aims to explore the current situation and strategy formulation of sports psychology teaching in colleges and universities following adaptive learning and deep learning under information education.
Chuan Mou +3 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source