Results 31 to 40 of about 8,161,576 (257)

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
doaj   +1 more source

Deep Transfer Learning for Biology Cross-Domain Image Classification

Journal of Control Science and Engineering, 2021
Automatic biology image classification is essential for biodiversity conservation and ecological study. Recently, due to the record-shattering performance, deep convolutional neural networks (DCNNs) have been used more often in biology image ...
Chunfeng Guo, Bin Wei, Kun Yu
doaj   +1 more source

Guided Transfer Learning

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, Davor Andric, Vjekoslav Nikolic   +2 more
openaire   +3 more sources

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
doaj   +1 more source

Sensitivity study of multi-field information maps of typical landslides in mining areas based on transfer learning

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, Yanzhao Yang, Jin Zhang, Yujie Wang   +3 more
doaj   +1 more source

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
doaj   +1 more source

Dual Transfer Learning [PDF]

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, Jianmin Wang 0001, Guiguang Ding, Wei Cheng 0002, Xiang Zhang 0001, Wei Wang 0010   +5 more
openaire   +1 more source

CloudyOverhead/velocity-model-building-using-transfer-learning: v1.0

, 2022
Hierarchical transfer learning for deep learning velocity model ...
Jerome Simon
core   +1 more source

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

Groundwater development and management constraints in drought prone Chiredzi and Zvishavane Districts, Zimbabwe

Climate Services
Communities 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, Regis Musavengane, Mulala Simatele   +2 more
doaj   +1 more source