Results 41 to 50 of about 10,380,352 (315)
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 ...
Karl R. Weiss +2 more
semanticscholar +1 more source
Accounting students' expectations and transition experiences of supervised work experience [PDF]
, 2010 Political and economic discourses position employability as a responsibility of higher education, which utilise mechanisms such as supervised work experience (SWE) to embed employability into the undergraduate curriculum. However, sparse investigation of
Brown M. +17 more
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Frontiers in Psychology, 2017 The current experiment investigated generalizability of motor learning in proximal versus distal effectors in upper extremities. Twenty-eight participants were divided into three groups: training proximal effectors, training distal effectors, and no ...
Tore K. Aune +3 more
doaj +1 more source
On spatial selectivity and prediction across conditions with fMRI [PDF]
, 2012 Researchers in functional neuroimaging mostly use activation coordinates to formulate their hypotheses. Instead, we propose to use the full statistical images to define regions of interest (ROIs).
Schwartz, Yannick +2 more
core +4 more sources
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
Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning
Italian National Conference on Sensors, 2022 The growth of the Internet has expanded the amount of data expressed by users across multiple platforms. The availability of these different worldviews and individuals’ emotions empowers sentiment analysis.
Nusrat Jahan Prottasha +6 more
semanticscholar +1 more source
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
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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Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
, 2020 Transfer Learning (TL) has shown great potential to accelerate Reinforcement Learning (RL) by leveraging prior knowledge from past learned policies of relevant tasks. Existing transfer approaches either explicitly computes the similarity between tasks or
Cheng, Yingfeng +10 more
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