Results 31 to 40 of about 295,561 (260)
Measuring learning transfer in a financial institution (Part 2)
SA Journal of Industrial Psychology, 2006 The purpose of this study was to identify learning transfer variables impacting on learning transfer using the Learning Transfer System Inventory (LTSI).
W J Coetsee, R Eiselen
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Improvement of Heterogeneous Transfer Learning Efficiency by Using Hebbian Learning Principle
Applied Sciences, 2020 Transfer learning algorithms have been widely studied for machine learning in recent times. In particular, in image recognition and classification tasks, transfer learning has shown significant benefits, and is getting plenty of attention in the research
Arjun Magotra, Juntae Kim
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Frontiers in Earth Science, 2023 The main purpose of this study is to analyze the main influencing factors of the landslide in the coal mine area and, on this basis, establish the sensitivity zoning model of the landslide.
Yongguo Zhang +3 more
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Stochastic Ensemble Policy Transfer [PDF]
Jisuanji kexue yu tansuo, 2022 Reinforcement learning (RL) has achieved great success on sequential decision-making problems. Along with the fast advances of RL, transfer learning (TL) arises as an important technique to accelerate the learning process of RL by leveraging and ...
CHANG Tian, ZHANG Zongzhang, YU Yang
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Limits of Transfer Learning [PDF]
, 2020 Transfer learning involves taking information and insight from one problem domain and applying it to a new problem domain. Although widely used in practice, theory for transfer learning remains less well-developed. To address this, we prove several novel results related to transfer learning, showing the need to carefully select which sets of ...
Jake Williams +4 more
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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
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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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CoRR, 2023 Machine learning requires exuberant amounts of data and computation. Also, models require equally excessive growth in the number of parameters. It is, therefore, sensible to look for technologies that reduce these demands on resources. Here, we propose an approach called guided transfer learning.
Danko Nikolic +2 more
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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
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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
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