Results 21 to 30 of about 398,042 (310)
Journal of Ethnic Foods, 2022 The increased frequency of extreme climate-induced natural disasters (floods, cyclones, mud slides, heat waves, droughts), attributed to climate change, is causing stress to already vulnerable livelihoods by affecting both tangible and intangible ...
Vimbainashe Prisca Dembedza +3 more
doaj +1 more source
On the Concept of Learning Transfer for Continuous and Online Training: A Literature Review
Education Sciences, 2021 This work presents a bibliographic review of research related to the subject of learning transfer. Here, we seek to understand its concept, its dimensions, and the factors that influence its achievement.
Fernanda Fauth, Juan González-Martínez
doaj +1 more source
The Impact of Culture on Learning Transfer in Burkina Faso and Ghana
AS: Andragoška Spoznanja, 2022 Culture is a predominant force in people’s lives that impacts learning and thus culture influences learning transfer. Because working across nations has become the norm and every year billions of dollars are spent on professional learning around the ...
Corinne Brion
doaj +1 more source
The well-fit for the FET model: Understanding training transfer factors in Spain
Educar, 2021 Learning transfer evaluation is a necessary process for practitioners to assess the effectiveness of training, and the outcomes of training produces in workers’ behaviors.
Carla Quesada-Pallarès +3 more
doaj +1 more source
Transfer Learning and Curriculum Learning in Sokoban [PDF]
, 2022 Transfer learning can speed up training in machine learning and is regularly used in classification tasks. It reuses prior knowledge from other tasks to pre-train networks for new tasks. In reinforcement learning, learning actions for a behavior policy that can be applied to new environments is still a challenge, especially for tasks that involve much ...
Zhao Yang 0003, Mike Preuss, Aske Plaat
openaire +3 more sources
Neural Population Dynamics Underlying Motor Learning Transfer [PDF]
Neuron, 2018 Saurabh Vyas +2 more
exaly +2 more sources
Learning to Learn Transferable Attack
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 Transfer adversarial attack is a non-trivial black-box adversarial attack that aims to craft adversarial perturbations on the surrogate model and then apply such perturbations to the victim model. However, the transferability of perturbations from existing methods is still limited, since the adversarial perturbations are easily overfitting with a single
Shuman Fang +3 more
openaire +2 more sources
Progressive Transfer Learning [PDF]
IEEE Transactions on Image Processing, 2022 10 pages, 4 figures, journel verison of our published short paper on ...
Zhengxu Yu +5 more
openaire +3 more sources
Adaptive Transfer Learning: a simple but effective transfer learning
CoRR, 2021 Transfer learning (TL) leverages previously obtained knowledge to learn new tasks efficiently and has been used to train deep learning (DL) models with limited amount of data. When TL is applied to DL, pretrained (teacher) models are fine-tuned to build domain specific (student) models.
Jung H. Lee +9 more
openaire +2 more sources
Education Sciences, 2023 This study seeks to analyse which factors in the work environments of students undergoing virtual in-service ICT teacher training facilitate the initial transfer of learning. Deductive categories were first defined based on previous studies.
Fernanda Fauth, Juan González-Martínez
doaj +1 more source