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Transfer Learning and Ensemble Learning
2020In this chapter, we start from transfer learning and introduce the relationship between different learners; we use ensemble learning to combine them together and hope to get a strong learner from a weak learner by changing the training dataset or adjusting parameters of networks. Our ultimate goal is to implement a robust and stable classifier.
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Proceedings of the Third (2016) ACM Conference on Learning @ Scale, 2016
The rising number of Massive Open Online Courses (MOOCs) enable people to advance their knowledge and competencies in a wide range of fields. Learning though is only the first step, the transfer of the taught concepts into practice is equally important and often neglected in the investigation of MOOCs.
Guanliang Chen +3 more
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The rising number of Massive Open Online Courses (MOOCs) enable people to advance their knowledge and competencies in a wide range of fields. Learning though is only the first step, the transfer of the taught concepts into practice is equally important and often neglected in the investigation of MOOCs.
Guanliang Chen +3 more
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2010
Transfer learning is the improvement of learning in a new task through the transfer of knowledge from a related task that has already been learned. While most machine learning algorithms are designed to address single tasks, the development of algorithms that facilitate transfer learning is a topic of ongoing interest in the machine-learning community.
Lisa Torrey, Jude Shavlik
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Transfer learning is the improvement of learning in a new task through the transfer of knowledge from a related task that has already been learned. While most machine learning algorithms are designed to address single tasks, the development of algorithms that facilitate transfer learning is a topic of ongoing interest in the machine-learning community.
Lisa Torrey, Jude Shavlik
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Technology Transfer and Learning
Technology Analysis & Strategic Management, 2002Despite the fact that international technology transfer has been widely studied its management still encounters many difficulties. To fully understand the issues that are relevant to the process of transferring production technology, it is necessary to determine the important factors that influence this process.
Steenhuis, Harm-Jan, de Bruijn, Erik J.
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Interhemispheric transfer of learning
Life Sciences, 1965Abstract Interhemispheric transfer of a simple discrimination was studied by means of spreading cortical depression. Following a single trial with both hemispheres functional transfer to the untrained hemisphere did not occur if SD was elicited in either hemisphere fifteen seconds after the transfer trial.
O S, RAY, G, EMLEY
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Incomplete Multisource Transfer Learning
IEEE Transactions on Neural Networks and Learning Systems, 2018Transfer learning is generally exploited to adapt well-established source knowledge for learning tasks in weakly labeled or unlabeled target domain. Nowadays, it is common to see multiple sources available for knowledge transfer, each of which, however, may not include complete classes information of the target domain.
Zhengming Ding, Ming Shao, Yun Fu
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Transfer Ordinal Label Learning
IEEE Transactions on Neural Networks and Learning Systems, 2013Designing a classifier in the absence of labeled data is becoming a common encounter as the acquisition of informative labels is often difficult or expensive, particularly on new uncharted target domains. The feasibility of attaining a reliable classifier for the task of interest is embarked by some in transfer learning, where label information from ...
Chun-Wei, Seah +2 more
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Learning Transfers via Transfer Learning
2021 IEEE Workshop on Innovating the Network for Data-Intensive Science (INDIS), 2021Md Arifuzzaman, Engin Arslan
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