Results 31 to 40 of about 168,521,757 (307)
Health Science Reports, 2022 Background and Aims In low‐income countries where there is shortage of appropriate medical care to manage hypertension (HTN), understanding dynamics of communities' knowledge and attitude to prevent through lifestyle is crucial.
Tsegab Paulose +2 more
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أثر مخطط تدفق استراتيجية التفكير بصوت عالٍ على فهم القراءة باللغة العربية والإنجليزية لمتعلمي اللغة الإنجليزية كلغة ثانية في المستوى الجامعي [PDF]
مجلة البحث في التربية وعلم النفساستقصت هذه الدراسة في فعالية "مخطط تدفق استراتيجية التفكير بصوت عالٍ" الذي تم تطويره حديثًا لتحسين فهم القراءة باللغتين الإنجليزية والعربية لطلاب الجامعات ثنائيي اللغة (العربية كلغة أولى والإنجليزية كلغة ثانية).
محمد أمين عبد الجواد مخيمر
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The Role of Nonlinear Pedagogy in Supporting the Design of Modified Games in Junior Sports
Frontiers in Psychology, 2021 Nonlinear Pedagogy has been advocated as an approach that views acquisition of movement skills with a strong emphasis on exploratory behaviors and the development of individualized movement skills.
Jia Yi Chow, John Komar, Ludovic Seifert
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Proceedings of the 2012 SIAM International Conference on Data Mining, 2012 Transfer learning aims to leverage the knowledge in the source domain to facilitate the learning tasks in the target domain. It has attracted extensive research interests recently due to its effectiveness in a wide range of applications. The general idea of the existing methods is to utilize the common latent structure shared across domains as the ...
Mingsheng Long +5 more
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Climate ServicesCommunities in drought-prone areas continued to fall into new vulnerability traps due to increasing water demand and stress. The study assessed groundwater development and management constraints in the Chiredzi and Zvishavane districts of Zimbabwe ...
Pascal Manyakaidze +2 more
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A survey of transfer learning [PDF]
Journal of Big Data, 2016 Machine learning and data mining techniques have been used in numerous real-world applications. An assumption of traditional machine learning methodologies is the training data and testing data are taken from the same domain, such that the input feature space and data distribution characteristics are the same.
Karl R. Weiss +2 more
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, 2023 A key task in the emerging field of materials informatics is to use machine learning to predict a material’s properties and functions. A fast and accurate predictive model allows researchers to more efficiently identify or construct a material with ...
Williams, Jonathan P. +2 more
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CoRR, 2020 We provide visualizations of individual neurons of a deep image recognition network during the temporal process of transfer learning. These visualizations qualitatively demonstrate various novel properties of the transfer learning process regarding the speed and characteristics of adaptation, neuron reuse, spatial scale of the represented image ...
Róbert Szabó +4 more
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Policy Convergence, Transfer and Learning in the UK under Devolution [PDF]
, 2012 This paper explores the policy transfer and learning process within the UK since 1999, examining the conditions in which transfer takes place among central and devolved governments.
Keating, Michael +3 more
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Mind2Mind: Transfer Learning for GANs [PDF]
, 2021 Training generative adversarial networks (GANs) on high quality (HQ) images involves important computing resources. This requirement represents a bottleneck for the development of applications of GANs. We propose a transfer learning technique for GANs that significantly reduces training time.
Yaël Frégier, Jean-Baptiste Gouray
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