Results 41 to 50 of about 8,451,453 (309)
Simple Synthetic Data as Source Domain for Transfer Learning to Remote Sensing as a Target Domain [PDF]
, 2023 Deep Learning continues to grow as a prevalent toolset among multiple disciplines, including Remote Sensing and image analysis. Correspondingly, to more easily apply the deep neural networks to different subject matter domains, Transfer Learning, from ...
Shaw, Brian L
core +1 more source
Geological time, biological events and the learning transfer problem
Journal of the Scholarship of Teaching and Learning, 2014 Comprehension of geologic time does not come easily, especially for students who are studying the earth sciences for the first time. This project investigated the potential success of two teaching interventions that were designed to help non-science ...
Claudia C Johnson +4 more
doaj +1 more source
Evaluating the efficacy of simulation-based training on clinical competency transfer
One Health & Risk ManagementIntroduction. Efficient learning transfer is crucial for training specialists to ensure the provision of quality medical services. This study investigates the impact of simulation-based training on the transfer of medical students' clinical competencies
Iurie SARATILA +2 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
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
Frontiers in Climate, 2023 Training community engaged climate adaptation leaders requires developing learners' thinking skills so they can flexibly approach adaptation planning and problem solving in novel socio-ecological contexts.
Sara Abercrombie +4 more
doaj +1 more source
Evaluation and analysis of short-term self and buddy aid training program of Iranian law enforcement force (NAJA) [PDF]
طب انتظامی, 2020 Aims: The current study aims to evaluate the efficiency of the short-term self and buddy aid training program of the Iranian law enforcement force using Holton’s learning transfer system inventory (LTSI).
Ali Khajeamiri, Ali Nadjafi-Semnani
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