Results 41 to 50 of about 8,161,576 (257)
Exploring Metacognition as Support for Learning Transfer
Teaching & Learning Inquiry: The ISSOTL Journal, 2017 The ability to transfer learning to new situations lies at the heart of lifelong learning and the employability of university graduates. Because students are often unaware of the importance of learning transfer and staff do not always explicitly ...
Lauren Scharff +6 more
doaj +1 more source
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
core +1 more source
Science communication on TikTok: toward transformative and post-normal science
Frontiers in CommunicationScience communication on social media is becoming increasingly important in order to promote an open dialog between science and the public. This raises the question of how to present topics related to climate change in a way that is both scientific and ...
Claudia Frick +2 more
doaj +1 more source
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
openaire +1 more source
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
openaire +3 more sources
Ensemble Transfer Learning Algorithm
IEEE Access, 2018 Transfer learning and ensemble learning are the new trends for solving the problem that training data and test data have different distributions. In this paper, we design an ensemble transfer learning framework to improve the classification accuracy when
Xiaobo Liu +4 more
doaj +1 more source
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
openaire +4 more sources
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Inductive transfer for learning Bayesian networks [PDF]
, 2009 In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with different conditions; or in industrial diagnosis, where there is ...
LUIS ENRIQUE SUCAR SUCCAR +1 more
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